Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
A skill your agent uses when deciding whether a computer-vision project should target ICCV, weighing the biennial odd-year cadence and its two-year option cost, what the Marr Prize lineage says…
Install Iccv Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iccv-topic-selection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ICCV-Skills/skills/iccv-topic-selection .claude/skills/iccv-topic-selection && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "iccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICCV-Skills/skills/iccv-topic-selection into .claude/skills/iccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iccv-topic-selection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICCV-Skills/skills/iccv-topic-selectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iccv-topic-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ICCV-Skills/skills/iccv-topic-selection .agents/skills/iccv-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "iccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICCV-Skills/skills/iccv-topic-selection into .agents/skills/iccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iccv-topic-selection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iccv-topic-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ICCV-Skills/skills/iccv-topic-selection .cursor/skills/iccv-topic-selection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "iccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICCV-Skills/skills/iccv-topic-selection into .cursor/skills/iccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iccv-topic-selection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path ICCV-Skills/skills/iccv-topic-selection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iccv-topic-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ICCV-Skills/skills/iccv-topic-selection .gemini/skills/iccv-topic-selection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "iccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICCV-Skills/skills/iccv-topic-selection into .gemini/skills/iccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iccv-topic-selection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iccv-topic-selectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ICCV-Skills/skills/iccv-topic-selection .github/skills/iccv-topic-selection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "iccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICCV-Skills/skills/iccv-topic-selection into .github/skills/iccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iccv-topic-selection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iccv-topic-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ICCV-Skills/skills/iccv-topic-selection .opencode/skills/iccv-topic-selection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "iccv-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICCV-Skills/skills/iccv-topic-selection into .opencode/skills/iccv-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iccv-topic-selection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
iccv-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 748 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding whether a computer-vision project should target ICCV, weighing the biennial odd-year cadence and its two-year option cost, what the Marr Prize lineage says…
- Deciding whether a computer-vision project should target ICCV
- SKILL.md covers Decide the calendar before the…, What ICCV has historically…, Fit interrogation and Contribution types and their…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Weighing the biennial odd-year cadence and its two-year option cost
What it does
Iccv Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a computer-vision project should target ICCV, weighing the biennial odd-year cadence and its two-year option cost, what the Marr Prize lineage says about ICCV taste, honest odds at 24% acceptance, and when to hold work for CVPR, ECCV, WACV, or a journal instead of forcing the March deadline.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Deciding whether a computer-vision project should target ICCV
- Weighing the biennial odd-year cadence and its two-year option cost
- What the Marr Prize lineage says about ICCV taste
- Honest odds at 24% acceptance
Example prompts
- “/iccv-topic-selection”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Iccv Topic Selection loads about 1.7k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 748 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 748 words, ~1,682 tokens.
Download SKILL.mdSave it as
.claude/skills/iccv-topic-selection/SKILL.md (or your agent's skills folder).- name
- iccv-topic-selection
- description
- Use when deciding whether a computer-vision project should target ICCV, weighing the biennial odd-year cadence and its two-year option cost, what the Marr Prize lineage says about ICCV taste, honest odds at 24% acceptance, and when to hold work for CVPR, ECCV, WACV, or a journal instead of forcing the March deadline.
ICCV Topic Selection
ICCV happens every other year. That single fact reorganizes the whole decision: choosing ICCV is not "which top vision venue" but "is this project ready for a deadline that will not come again for twenty-four months." In the 2025 cycle (Honolulu, the most recent completed edition, checked 2026-07-08), 11,239 valid submissions competed for 2,699 acceptances — 24%. The next intake is ICCV 2027 (Hong Kong, October 2027, CFP not yet posted at check time).
Decide the calendar before the venue
CVPR, ICCV, and ECCV share reviewer culture, format, and prestige tier. What they do not share is timing. In an odd year, the vision calendar offers a November deadline (next CVPR) and a March deadline (ICCV); in an even year the March-ish slot belongs to ECCV. So the real question is never "ICCV or CVPR" in the abstract — it is:
When does your evidence mature?
├── Strong by late winter of an ODD year → ICCV (early-March deadline, 2025 anchor)
├── Strong by autumn of any year → CVPR (November deadline)
├── Strong by late winter of an EVEN year → ECCV (spring deadline)
├── Strong but application-first → WACV (CVF, applications-friendly)
├── Needs >8 pages or archival depth → TPAMI / IJCV
└── One study short of the flagship bar → workshop at any of the three,
then the next big deadlineSubmitting weak-but-early to ICCV because "the next one is two years away" is the classic error this skill exists to block: a rejection costs you the cycle and burns first-impression goodwill in reviewer pools that overlap heavily across all three siblings.
What ICCV has historically crowned
The Marr Prize record is a usable taste signal because it spans the field's eras: SIFT-era local features (Lowe's scale-invariant feature paper is ICCV 1999), instance segmentation (Mask R-CNN, Marr Prize 2017), backbone architecture (Swin Transformer, Marr Prize 2021), controllable generation (ControlNet, Marr Prize 2023), and text-conditioned physical construction (BrickGPT, Marr Prize 2025). The through-line is not a subfield — it is a reusable visual capability that other groups adopt within one cycle. Ask of your project: could a stranger build on this by the time the next ICCV arrives?
Fit interrogation
Run these five questions before committing a team to the March deadline. Two "no" answers mean route elsewhere or wait.
| Question | Passing answer looks like | Failing answer looks like |
|---|---|---|
| Is the claim about seeing? | A mechanism for pixels, geometry, video, or visual grounding | Vision is only the benchmark suite for a generic ML idea |
| Does it survive current baselines? | Within reach of leaderboard SOTA with your actual compute | Wins only against pre-foundation-model baselines |
| Is there a two-year half-life? | The capability will still matter at the next ICCV | A patch on a model family that will be obsolete by autumn |
| Can reviewers falsify it? | Ablations isolate the mechanism; failure cases shown | One entangled system where nothing can be turned off |
| Can the team pay the duty tax? | Coauthors can absorb reviewer assignments (every author reviews at ICCV — 2025 rule) | Nobody has review bandwidth in the post-deadline months |
Show full SKILL.md (323 more words)Show less
Contribution types and their ICCV posture
- New method or architecture — the default ICCV genre. Needs a nameable delta against the three nearest papers plus transplant evidence (your module inside a baseline).
- Dataset or benchmark — viable, but the paper must demonstrate what the field can now study, not report a larger row count; release logistics start at acceptance, not at camera-ready panic.
- Analysis / measurement paper — ICCV audiences reward careful negative or diagnostic results more than folklore suggests, but only with breadth: one model family analyzed is a workshop paper.
- Vision-language / generative work — the largest and most crowded lane after
- Differentiation must be mechanistic; "we fine-tuned a VLM and it improved" is a domain-venue paper.
- Theory — route to NeurIPS/ICML unless the theorem predicts something an ICCV reviewer can watch happen in a table or a video.
The option-cost calculation
Because the venue is biennial, an ICCV decision is really a portfolio decision. Write it down explicitly:
option-cost worksheet (fill before committing)
target: ICCV 2027, CFP 待核实 — deadline unknown until posted
evidence gap: <experiments missing today>
gap closes by: <month/year, honest>
if later than ~Feb 2027:
plan A becomes CVPR 2027-cycle (Nov deadline) or ECCV 2028
cost of waiting: <who else is racing this idea; arXiv velocity in the area>
cost of rushing: burned cycle + overlapping reviewer pools remember draftsIf the "gap closes by" line is within six weeks of the deadline, plan for the supplement and rebuttal to carry zero new evidence — ICCV's 2025 cycle put paper and supplementary material on the same day (a deliberate 2025 change), so there is no trailing week to finish experiments in.
Odds, stated plainly
24% acceptance means three of four reviewed submissions exited with a rejection in 2025. Orals were reported at roughly half a percent of submissions and Highlights at 263 papers — treat both as reported figures. The rational posture: target ICCV when the work genuinely benefits from the international flagship stage and its two-year echo; otherwise the annual CVPR intake prices the same prestige with a shorter retry loop.
Cycle-check before advising
- ICCV 2027 scope, topic areas, and CFP — none published at check time (待核实); the 2025 CFP is the newest scope anchor.
- Whether the every-author-reviews rule and the 25-submission-per-author cap persist into 2027.
- Sibling deadlines for the routing decision (next CVPR and ECCV CFPs).
Output format
[Route] ICCV <year> / CVPR / ECCV / WACV / journal / workshop / wait
[Claim in one line] <the visual capability being claimed>
[Calendar logic] evidence matures <date> vs deadline <date or 待核实>
[Fit tally] seeing-claim / baselines / half-life / falsifiable / duty-tax → n/5
[Option cost] <what waiting for the next cycle costs, one line>
[Blocking gap] <the single item that decides the route>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in ICCV-Skills/skills/iccv-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Iccv Topic Selection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Iccv Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Yolo Master AgentTencent/YOLO-Master | 745 | — | ~755 | Automated safety check: Pass | AGPL-3.0 | |
| Video Understandjjyaoao/HelloAgents | 3.2k | 1 repos | ~6.2k | Automated safety check: Pass | MIT | |
| LLaVA Vision-Language ModelOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~2k | Automated safety check: Pass | MIT |
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Categories
Questions about Iccv Topic Selection
What does Iccv Topic Selection do?
A skill your agent uses when deciding whether a computer-vision project should target ICCV, weighing the biennial odd-year cadence and its two-year option cost, what the Marr Prize lineage says…. Iccv Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a computer-vision project should target ICCV, weighing the biennial odd-year cadence and its two-year option cost, what the Marr Prize lineage says about ICCV taste, honest odds at 24% acceptance, and when to hold work for CVPR, ECCV, WACV, or a journal instead of forcing the March deadline.
When should I use Iccv Topic Selection?
Iccv Topic Selection fits situations like: deciding whether a computer-vision project should target ICCV; weighing the biennial odd-year cadence and its two-year option cost; what the Marr Prize lineage says about ICCV taste; honest odds at 24% acceptance.
How do I install Iccv Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a claude-code`. Or copy the skill folder (ICCV-Skills/skills/iccv-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/iccv-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Iccv Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a codex`. Or copy the skill folder (ICCV-Skills/skills/iccv-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/iccv-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Iccv Topic Selection in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iccv-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/iccv-topic-selection, .gemini/skills/iccv-topic-selection, .github/skills/iccv-topic-selection and .opencode/skills/iccv-topic-selection in your project.
What does Iccv Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Iccv Topic Selection is instructions for the agent only.
Does Iccv Topic Selection access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Iccv Topic Selection safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Iccv Topic Selection use?
Iccv Topic Selection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Iccv Topic Selection use?
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Iccv Topic Selection?
Skills that share tags, products or a category with Iccv Topic Selection: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Yolo Master Agent (Tencent/YOLO-Master, 745 stars) and Video Understand (jjyaoao/HelloAgents, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Iccv Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.