{"adoption": {"forks": 2797, "observed_at": "2026-08-28T04:11:34.080738+00:00", "stars": 22796}, "canonical_url": "https://ross.abutalabs.com/products/cvpr2026-papers-with-code", "card": {"archived": false, "artifact_type": "learning-resource", "description": "CVPR 2026 论文和开源项目合集", "domain": ["computer-vision", "deep-learning", "machine-learning", "tutorials", "awesome-lists"], "enriched": true, "function": ["documentation", "search-engine"], "health_score": 63, "homepage": null, "language": null, "license": null, "license_family": "other", "maturity": "active", "member_repos": ["amusi/CVPR2026-Papers-with-Code"], "name": "amusi/CVPR2026-Papers-with-Code", "platform": ["cross-platform"], "pushed_at": "2026-03-08T07:27:34+00:00", "repo": "amusi/CVPR2026-Papers-with-Code", "stars": 22796, "tags": ["cvpr", "papers-with-code", "curated-list", "research-papers", "computer-vision", "open-source-projects", "conference-papers"], "topics": ["cvpr", "cvpr2020", "computer-vision", "deep-learning", "machine-learning", "object-detection", "image-segmentation", "paper", "image-processing", "visual-tracking", "python", "cvpr2021", "semantic-segmentation", "cvpr2022", "transformer", "transformers", "cvpr2023", "cvpr2024", "cvpr2025", "cvpr2026"], "urls": [], "use_cases": ["find CVPR 2026 papers with code implementations", "track state-of-the-art computer vision research", "discover open-source projects for object detection and segmentation", "research diffusion models and vision transformers", "find papers on 3D reconstruction and Gaussian splatting", "survey latest medical image segmentation methods", "keep up with autonomous driving vision research"], "what_it_is": "A curated collection of CVPR 2026 accepted papers and their associated open-source code repositories, organized by computer vision research topics. It serves as a reference catalog for tracking state-of-the-art research across areas like object detection, segmentation, 3D vision, and generative models.", "when_to_avoid": ["you need a runnable software tool rather than a paper catalog", "you're looking for papers from other conferences like ICCV or ECCV", "you need peer-reviewed summaries or tutorials rather than paper links"], "when_to_choose": ["you want a topic-organized index of CVPR 2026 papers with code links", "you're surveying the state of the art in computer vision", "you need reference implementations for a specific CV subfield"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/cvpr2026-papers-with-code", "repo": "amusi/CVPR2026-Papers-with-Code", "role": "main", "score": 64}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:11:34.080738+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T16:56:55.407628+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "727afd0ba5f49f6e2b0ea7a7a3e7140b3faf3a7f855dafec39ec312cd70bdf93", "fetched_at": "2026-08-28T04:11:34.080738+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amusi/CVPR2026-Papers-with-Code"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 71, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2380, "days_push": 178, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 64, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}