{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QXRWQMOTX3IWKQKAT7WPCXJL4V","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4cf63e327a3b117dd83bb3310db4289546b3d3ff218bb905cc028bf1a25d4868","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-02T04:27:07Z","title_canon_sha256":"deff8d7d9c0316fdaa01c2fb9f20a71bc68e453fb790ccfc1ac972a0cb0f9a43"},"schema_version":"1.0","source":{"id":"1710.00478","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.00478","created_at":"2026-05-18T00:33:29Z"},{"alias_kind":"arxiv_version","alias_value":"1710.00478v3","created_at":"2026-05-18T00:33:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.00478","created_at":"2026-05-18T00:33:29Z"},{"alias_kind":"pith_short_12","alias_value":"QXRWQMOTX3IW","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QXRWQMOTX3IWKQKA","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QXRWQMOT","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:73107be94b7f1a1ae57f14d6f5774d00ee781e4f2d0f4e2965692c8d09b6ba0c","target":"graph","created_at":"2026-05-18T00:33:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Person re-identification (ReID) is an important task in computer vision. Recently, deep learning with a metric learning loss has become a common framework for ReID. In this paper, we also propose a new metric learning loss with hard sample mining called margin smaple mining loss (MSML) which can achieve better accuracy compared with other metric learning losses, such as triplet loss. In experi- ments, our proposed methods outperforms most of the state-of-the-art algorithms on Market1501, MARS, CUHK03 and CUHK-SYSU.","authors_text":"Chi Zhang, Hao Luo, Qiqi Xiao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-02T04:27:07Z","title":"Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00478","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:536789c03d7e5b44a0bdc7285f406c2b96fae055b9805fa20b1dbf1e74c4ab15","target":"record","created_at":"2026-05-18T00:33:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4cf63e327a3b117dd83bb3310db4289546b3d3ff218bb905cc028bf1a25d4868","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-02T04:27:07Z","title_canon_sha256":"deff8d7d9c0316fdaa01c2fb9f20a71bc68e453fb790ccfc1ac972a0cb0f9a43"},"schema_version":"1.0","source":{"id":"1710.00478","kind":"arxiv","version":3}},"canonical_sha256":"85e36831d3bed16541409fecf15d2be55157c6345bf3b9f51a3234180855000a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85e36831d3bed16541409fecf15d2be55157c6345bf3b9f51a3234180855000a","first_computed_at":"2026-05-18T00:33:29.650735Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:33:29.650735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xurwFkmxCX37548Eh2+vBvpuv0Fi0nxNy6geTnSc9G6N1TxJkh+zG+iX38GL5Q3lb3fCUQML0Oy7MNQmndmNAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:33:29.651389Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.00478","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:536789c03d7e5b44a0bdc7285f406c2b96fae055b9805fa20b1dbf1e74c4ab15","sha256:73107be94b7f1a1ae57f14d6f5774d00ee781e4f2d0f4e2965692c8d09b6ba0c"],"state_sha256":"98c0260ab965d7a14a208133a115761dd6b13c2503286c4564c4b82536c96793"}