{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/resnet-50","entry":"ResNet_50","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":5,"n_papers_ran":0,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":2,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":2},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2501.01790","paper":"/paper/ingredients-blending-custom-photos-with-video","title":"Ingredients: Blending Custom Photos with Video Diffusion Transformers","date":"2025-01-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"feizc/ingredients","path":"metric/curricularface/model_resnet.py","file_url":"https://github.com/feizc/ingredients/blob/HEAD/metric/curricularface/model_resnet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"d6583b15d8a7722f","mcp_get_code":{"code_sha256":"d6583b15d8a7722f"}},{"arxiv_id":"2408.05939","paper":"/paper/uniportrait-a-unified-framework-for-identity","title":"UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization","date":"2024-08-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"junjiehe96/UniPortrait","path":"uniportrait/curricular_face/backbone/model_resnet.py","file_url":"https://github.com/junjiehe96/UniPortrait/blob/HEAD/uniportrait/curricular_face/backbone/model_resnet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"d6583b15d8a7722f","mcp_get_code":{"code_sha256":"d6583b15d8a7722f"}},{"arxiv_id":"2210.10090","paper":"/paper/how-to-boost-face-recognition-with-stylegan","title":"How to Boost Face Recognition with StyleGAN?","date":"2022-10-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"seva100/stylegan-for-facerec","path":"backbone/model_resnet.py","file_url":"https://github.com/seva100/stylegan-for-facerec/blob/HEAD/backbone/model_resnet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"de52f82c3df44b76","mcp_get_code":{"code_sha256":"de52f82c3df44b76"}},{"arxiv_id":"2107.08621","paper":"/paper/face-evolve-a-high-performance-face","title":"Face.evoLVe: A High-Performance Face Recognition Library","date":"2021-07-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ZhaoJ9014/face.evoLVe.PyTorch","path":"backbone/model_resnet.py","file_url":"https://github.com/ZhaoJ9014/face.evoLVe.PyTorch/blob/HEAD/backbone/model_resnet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"de52f82c3df44b76","mcp_get_code":{"code_sha256":"de52f82c3df44b76"}},{"arxiv_id":"2004.00288","paper":"/paper/curricularface-adaptive-curriculum-learning","title":"CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition","date":"2020-04-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"HuangYG123/CurricularFace","path":"backbone/model_resnet.py","file_url":"https://github.com/HuangYG123/CurricularFace/blob/HEAD/backbone/model_resnet.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"de52f82c3df44b76","mcp_get_code":{"code_sha256":"de52f82c3df44b76"}}]}