{"about":{"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.","site":"https://codewithpapers.app","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","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/dataset/dukemtmc-reid/papers/ran/1","list_of":"/dataset/dukemtmc-reid","dataset":"DukeMTMC-reID","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","key_notes":{"samples_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","samples_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this dataset or check it against this dataset's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","population":"every paper with a leaderboard row on this dataset's benchmarks (the benchmark-backed subset): the archive's own papers-using-this-dataset list was never published, so this is not that list; num_papers_in_archive is the archive's own count","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,23],"of":23,"counts":{"papers_with_a_benchmark_row":100,"with_a_code_link":90,"where_syntology_ran_a_sample":23,"not_listed_spam_title":0,"listed":100,"listed_where_code_ran":23,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":23,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":23,"listed_every_run_a_failure_of_syntologys_instrument":0,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers with at least one leaderboard row on this dataset's benchmarks; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/dataset/dukemtmc-reid/papers/ran/1","prev":null,"next":null,"papers":[{"paper":"/paper/plip-language-image-pre-training-for-person","slug":"plip-language-image-pre-training-for-person","title":"PLIP: Language-Image Pre-training for Person Representation Learning","date":"2023-05-15","arxiv_id":"2305.08386","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":9,"samples_ran":4,"samples_constructed":0,"samples_ran_checked":4,"samples_ran_instrument_failed":0,"samples_unverified":5,"pointer_only_for_licence":0,"official":{"repos":["zplusdragon/plip"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":5,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/plip-language-image-pre-training-for-person#ran","syntology_url":"https://syntology.ai/paper/2305.08386","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.08386"}}}},{"paper":"/paper/large-scale-pre-training-for-person-re","slug":"large-scale-pre-training-for-person-re","title":"Large-Scale Pre-training for Person Re-identification with Noisy Labels","date":"2022-03-30","arxiv_id":"2203.16533","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":5,"samples_ran":5,"samples_constructed":2,"samples_ran_checked":3,"samples_ran_instrument_failed":2,"samples_unverified":0,"pointer_only_for_licence":4,"official":{"repos":["dengpanfu/luperson-nl"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["found_in_text","listed","official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/large-scale-pre-training-for-person-re#ran","syntology_url":"https://syntology.ai/paper/2203.16533","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.16533"}}}},{"paper":"/paper/counterfactual-attention-learning-for-fine","slug":"counterfactual-attention-learning-for-fine","title":"Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification","date":"2021-08-19","arxiv_id":"2108.08728","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":11,"samples_ran":8,"samples_constructed":7,"samples_ran_checked":8,"samples_ran_instrument_failed":0,"samples_unverified":3,"pointer_only_for_licence":0,"official":{"repos":["raoyongming/CAL"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":7,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/counterfactual-attention-learning-for-fine#ran","syntology_url":"https://syntology.ai/paper/2108.08728","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.08728"}}}},{"paper":"/paper/graph-based-person-signature-for-person-re","slug":"graph-based-person-signature-for-person-re","title":"Graph-based Person Signature for Person Re-Identifications","date":"2021-04-14","arxiv_id":"2104.06770","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":10,"samples_ran":9,"samples_constructed":0,"samples_ran_checked":5,"samples_ran_instrument_failed":4,"samples_unverified":1,"pointer_only_for_licence":2,"official":{"repos":["aioz-ai/CVPRW21_GPS"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/graph-based-person-signature-for-person-re#ran","syntology_url":"https://syntology.ai/paper/2104.06770","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.06770"}}}},{"paper":"/paper/ice-inter-instance-contrastive-encoding-for","slug":"ice-inter-instance-contrastive-encoding-for","title":"ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification","date":"2021-03-30","arxiv_id":"2103.16364","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":1,"samples_ran":1,"samples_constructed":0,"samples_ran_checked":1,"samples_ran_instrument_failed":0,"samples_unverified":0,"pointer_only_for_licence":0,"official":{"repos":["chenhao2345/ICE"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/ice-inter-instance-contrastive-encoding-for#ran","syntology_url":"https://syntology.ai/paper/2103.16364","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.16364"}}}},{"paper":"/paper/intra-inter-camera-similarity-for","slug":"intra-inter-camera-similarity-for","title":"Intra-Inter Camera Similarity for Unsupervised Person Re-Identification","date":"2021-03-22","arxiv_id":"2103.11658","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":8,"samples_ran":5,"samples_constructed":0,"samples_ran_checked":1,"samples_ran_instrument_failed":4,"samples_unverified":3,"pointer_only_for_licence":8,"official":{"repos":["SY-Xuan/IICS"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/intra-inter-camera-similarity-for#ran","syntology_url":"https://syntology.ai/paper/2103.11658","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.11658"}}}},{"paper":"/paper/top-db-net-top-dropblock-for-activation","slug":"top-db-net-top-dropblock-for-activation","title":"Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification","date":"2020-10-12","arxiv_id":"2010.05435","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":15,"samples_ran":6,"samples_constructed":0,"samples_ran_checked":6,"samples_ran_instrument_failed":0,"samples_unverified":9,"pointer_only_for_licence":0,"official":{"repos":["RQuispeC/top-dropblock"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":9,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/top-db-net-top-dropblock-for-activation#ran","syntology_url":"https://syntology.ai/paper/2010.05435","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.05435"}}}},{"paper":"/paper/identity-guided-human-semantic-parsing-for","slug":"identity-guided-human-semantic-parsing-for","title":"Identity-Guided Human Semantic Parsing for Person Re-Identification","date":"2020-07-27","arxiv_id":"2007.13467","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":7,"samples_ran":6,"samples_constructed":0,"samples_ran_checked":4,"samples_ran_instrument_failed":2,"samples_unverified":1,"pointer_only_for_licence":1,"official":{"repos":["CASIA-IVA-Lab/ISP-reID"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/identity-guided-human-semantic-parsing-for#ran","syntology_url":"https://syntology.ai/paper/2007.13467","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2007.13467"}}}},{"paper":"/paper/self-paced-contrastive-learning-with-hybrid","slug":"self-paced-contrastive-learning-with-hybrid","title":"Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID","date":"2020-06-04","arxiv_id":"2006.02713","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":5,"samples_ran":3,"samples_constructed":2,"samples_ran_checked":2,"samples_ran_instrument_failed":1,"samples_unverified":2,"pointer_only_for_licence":0,"official":{"repos":["yxgeee/SpCL"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/self-paced-contrastive-learning-with-hybrid#ran","syntology_url":"https://syntology.ai/paper/2006.02713","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2006.02713"}}}},{"paper":"/paper/mutual-mean-teaching-pseudo-label-refinery-1","slug":"mutual-mean-teaching-pseudo-label-refinery-1","title":"Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification","date":"2020-01-06","arxiv_id":"2001.01526","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":8,"samples_ran":8,"samples_constructed":2,"samples_ran_checked":2,"samples_ran_instrument_failed":6,"samples_unverified":0,"pointer_only_for_licence":0,"official":{"repos":["yxgeee/MMT"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/mutual-mean-teaching-pseudo-label-refinery-1#ran","syntology_url":"https://syntology.ai/paper/2001.01526","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2001.01526"}}}},{"paper":"/paper/learning-generalisable-omni-scale","slug":"learning-generalisable-omni-scale","title":"Learning Generalisable Omni-Scale Representations for Person Re-Identification","date":"2019-10-15","arxiv_id":"1910.06827","rows_on_this_dataset":1,"code_links":9,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":9,"samples_ran":6,"samples_constructed":0,"samples_ran_checked":1,"samples_ran_instrument_failed":5,"samples_unverified":3,"pointer_only_for_licence":6,"official":{"repos":["KaiyangZhou/deep-person-reid"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/learning-generalisable-omni-scale#ran","syntology_url":"https://syntology.ai/paper/1910.06827","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1910.06827"}}}},{"paper":"/paper/abd-net-attentive-but-diverse-person-re","slug":"abd-net-attentive-but-diverse-person-re","title":"ABD-Net: Attentive but Diverse Person Re-Identification","date":"2019-08-03","arxiv_id":"1908.01114","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":9,"samples_ran":8,"samples_constructed":0,"samples_ran_checked":8,"samples_ran_instrument_failed":0,"samples_unverified":1,"pointer_only_for_licence":1,"official":{"repos":["TAMU-VITA/ABD-Net"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["listed","official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/abd-net-attentive-but-diverse-person-re#ran","syntology_url":"https://syntology.ai/paper/1908.01114","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1908.01114"}}}},{"paper":"/paper/omni-scale-feature-learning-for-person-re","slug":"omni-scale-feature-learning-for-person-re","title":"Omni-Scale Feature Learning for Person Re-Identification","date":"2019-05-02","arxiv_id":"1905.00953","rows_on_this_dataset":1,"code_links":17,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":26,"samples_ran":14,"samples_constructed":0,"samples_ran_checked":12,"samples_ran_instrument_failed":2,"samples_unverified":12,"pointer_only_for_licence":3,"official":{"repos":["KaiyangZhou/deep-person-reid"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/omni-scale-feature-learning-for-person-re#ran","syntology_url":"https://syntology.ai/paper/1905.00953","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1905.00953"}}}},{"paper":"/paper/deep-constrained-dominant-sets-for-person-re","slug":"deep-constrained-dominant-sets-for-person-re","title":"Deep Constrained Dominant Sets for Person Re-identification","date":"2019-04-25","arxiv_id":"1904.11397","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":6,"samples_ran":1,"samples_constructed":0,"samples_ran_checked":1,"samples_ran_instrument_failed":0,"samples_unverified":5,"pointer_only_for_licence":0,"official":null,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/deep-constrained-dominant-sets-for-person-re#ran","syntology_url":"https://syntology.ai/paper/1904.11397","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.11397"}}}},{"paper":"/paper/joint-discriminative-and-generative-learning","slug":"joint-discriminative-and-generative-learning","title":"Joint Discriminative and Generative Learning for Person Re-identification","date":"2019-04-15","arxiv_id":"1904.07223","rows_on_this_dataset":4,"code_links":12,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":19,"samples_ran":12,"samples_constructed":0,"samples_ran_checked":9,"samples_ran_instrument_failed":3,"samples_unverified":7,"pointer_only_for_licence":2,"official":null,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/joint-discriminative-and-generative-learning#ran","syntology_url":"https://syntology.ai/paper/1904.07223","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.07223"}}}},{"paper":"/paper/invariance-matters-exemplar-memory-for-domain","slug":"invariance-matters-exemplar-memory-for-domain","title":"Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification","date":"2019-04-03","arxiv_id":"1904.01990","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":8,"samples_ran":4,"samples_constructed":0,"samples_ran_checked":4,"samples_ran_instrument_failed":0,"samples_unverified":4,"pointer_only_for_licence":0,"official":{"repos":["zhunzhong07/ECN"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/invariance-matters-exemplar-memory-for-domain#ran","syntology_url":"https://syntology.ai/paper/1904.01990","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.01990"}}}},{"paper":"/paper/bags-of-tricks-and-a-strong-baseline-for-deep","slug":"bags-of-tricks-and-a-strong-baseline-for-deep","title":"Bag of Tricks and A Strong Baseline for Deep Person Re-identification","date":"2019-03-17","arxiv_id":"1903.07071","rows_on_this_dataset":1,"code_links":8,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":8,"samples_ran":6,"samples_constructed":0,"samples_ran_checked":4,"samples_ran_instrument_failed":2,"samples_unverified":2,"pointer_only_for_licence":1,"official":{"repos":["michuanhaohao/reid-strong-baseline"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/bags-of-tricks-and-a-strong-baseline-for-deep#ran","syntology_url":"https://syntology.ai/paper/1903.07071","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1903.07071"}}}},{"paper":"/paper/spatial-temporal-person-re-identification","slug":"spatial-temporal-person-re-identification","title":"Spatial-Temporal Person Re-identification","date":"2018-12-08","arxiv_id":"1812.03282","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":10,"samples_ran":8,"samples_constructed":0,"samples_ran_checked":8,"samples_ran_instrument_failed":0,"samples_unverified":2,"pointer_only_for_licence":1,"official":{"repos":["Wanggcong/Spatial-Temporal-Re-identification"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/spatial-temporal-person-re-identification#ran","syntology_url":"https://syntology.ai/paper/1812.03282","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1812.03282"}}}},{"paper":"/paper/resource-aware-person-re-identification","slug":"resource-aware-person-re-identification","title":"Resource Aware Person Re-identification across Multiple Resolutions","date":"2018-05-22","arxiv_id":"1805.08805","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":18,"samples_ran":13,"samples_constructed":0,"samples_ran_checked":12,"samples_ran_instrument_failed":1,"samples_unverified":5,"pointer_only_for_licence":1,"official":{"repos":["mileyan/DARENet"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":5,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/resource-aware-person-re-identification#ran","syntology_url":"https://syntology.ai/paper/1805.08805","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.08805"}}}},{"paper":"/paper/learning-discriminative-features-with","slug":"learning-discriminative-features-with","title":"Learning Discriminative Features with Multiple Granularities for Person Re-Identification","date":"2018-04-04","arxiv_id":"1804.01438","rows_on_this_dataset":1,"code_links":16,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":30,"samples_ran":25,"samples_constructed":0,"samples_ran_checked":23,"samples_ran_instrument_failed":2,"samples_unverified":5,"pointer_only_for_licence":2,"official":null,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/learning-discriminative-features-with#ran","syntology_url":"https://syntology.ai/paper/1804.01438","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1804.01438"}}}},{"paper":"/paper/a-pose-sensitive-embedding-for-person-re","slug":"a-pose-sensitive-embedding-for-person-re","title":"A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking","date":"2017-11-28","arxiv_id":"1711.10378","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":3,"samples_ran":1,"samples_constructed":0,"samples_ran_checked":1,"samples_ran_instrument_failed":0,"samples_unverified":2,"pointer_only_for_licence":3,"official":{"repos":["pse-ecn/expanded-cross-neighborhood","pse-ecn/pose-sensitive-embedding"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/a-pose-sensitive-embedding-for-person-re#ran","syntology_url":"https://syntology.ai/paper/1711.10378","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1711.10378"}}}},{"paper":"/paper/pointnet-deep-hierarchical-feature-learning","slug":"pointnet-deep-hierarchical-feature-learning","title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","date":"2017-06-07","arxiv_id":"1706.02413","rows_on_this_dataset":1,"code_links":68,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":67,"samples_ran":36,"samples_constructed":31,"samples_ran_checked":33,"samples_ran_instrument_failed":3,"samples_unverified":31,"pointer_only_for_licence":26,"official":null,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/pointnet-deep-hierarchical-feature-learning#ran","syntology_url":"https://syntology.ai/paper/1706.02413","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1706.02413"}}}},{"paper":"/paper/in-defense-of-the-triplet-loss-for-person-re","slug":"in-defense-of-the-triplet-loss-for-person-re","title":"In Defense of the Triplet Loss for Person Re-Identification","date":"2017-03-22","arxiv_id":"1703.07737","rows_on_this_dataset":1,"code_links":31,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":46,"samples_ran":39,"samples_constructed":0,"samples_ran_checked":37,"samples_ran_instrument_failed":2,"samples_unverified":7,"pointer_only_for_licence":2,"official":null,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/in-defense-of-the-triplet-loss-for-person-re#ran","syntology_url":"https://syntology.ai/paper/1703.07737","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1703.07737"}}}}],"record_sha256":"3dc667074bfb1dadd34641643258121248b69752a251e6d50a78ee2f91f6b248","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}