{"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/get-save-path-seeds","entry":"get_save_path_seeds","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":4,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":4},"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":"2407.02665","paper":"/paper/smile-leveraging-submodular-mutual","title":"SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection","date":"2024-07-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"amajee11us/smile-fsod","path":"datasets/prepare_coco_few_shot.py","file_url":"https://github.com/amajee11us/smile-fsod/blob/HEAD/datasets/prepare_coco_few_shot.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":"55cc9fdee3a4cd0a","mcp_get_code":{"code_sha256":"55cc9fdee3a4cd0a"}},{"arxiv_id":"2304.07459","paper":"/paper/instance-level-few-shot-learning-with-class","title":"Instance-level Few-shot Learning with Class Hierarchy Mining","date":"2023-04-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nvakhoa/superclass-fsis","path":"datasets/prepare_coco_few_shot.py","file_url":"https://github.com/nvakhoa/superclass-fsis/blob/HEAD/datasets/prepare_coco_few_shot.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":false,"code_sha256_prefix":"fb6b8ecbce0b82a0","mcp_get_code":{"code_sha256":"fb6b8ecbce0b82a0"}},{"arxiv_id":"2207.11184","paper":"/paper/multi-faceted-distillation-of-base-novel","title":"Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection","date":"2022-07-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"wushuang1998/mfdc","path":"datasets/prepare_coco_few_shot.py","file_url":"https://github.com/wushuang1998/mfdc/blob/HEAD/datasets/prepare_coco_few_shot.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"55cc9fdee3a4cd0a","mcp_get_code":{"code_sha256":"55cc9fdee3a4cd0a"}},{"arxiv_id":"2105.05312","paper":"/paper/incremental-few-shot-instance-segmentation","title":"Incremental Few-Shot Instance Segmentation","date":"2021-05-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"danganea/iMTFA","path":"datasets/prepare_coco_few_shot.py","file_url":"https://github.com/danganea/iMTFA/blob/HEAD/datasets/prepare_coco_few_shot.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":false,"code_sha256_prefix":"fb6b8ecbce0b82a0","mcp_get_code":{"code_sha256":"fb6b8ecbce0b82a0"}},{"arxiv_id":"2003.06957","paper":"/paper/frustratingly-simple-few-shot-object","title":"Frustratingly Simple Few-Shot Object Detection","date":"2020-03-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ucbdrive/few-shot-object-detection","path":"datasets/prepare_coco_few_shot.py","file_url":"https://github.com/ucbdrive/few-shot-object-detection/blob/HEAD/datasets/prepare_coco_few_shot.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":false,"code_sha256_prefix":"3bcacfe0d4442213","mcp_get_code":{"code_sha256":"3bcacfe0d4442213"}},{"arxiv_id":"2003.06957","paper":"/paper/frustratingly-simple-few-shot-object","title":"Frustratingly Simple Few-Shot Object Detection","date":"2020-03-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fsna2022/fsna","path":"datasets/prepare_coco_few_shot.py","file_url":"https://github.com/fsna2022/fsna/blob/HEAD/datasets/prepare_coco_few_shot.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":false,"code_sha256_prefix":"aad0696f7f4b3825","mcp_get_code":{"code_sha256":"aad0696f7f4b3825"}}]}