{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:AOGA5SUKXPA7ORKQR55XMBVOLT","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":"049831302a60bcf06504253298677b838f784b7a8cc351bd2f43effa62923733","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-21T14:41:08Z","title_canon_sha256":"2f4372417bd69b0ee5c4a0892b556b2ab121a6acaa049237d2b534f870f47c0f"},"schema_version":"1.0","source":{"id":"2012.11389","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.11389","created_at":"2026-07-05T02:01:01Z"},{"alias_kind":"arxiv_version","alias_value":"2012.11389v1","created_at":"2026-07-05T02:01:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.11389","created_at":"2026-07-05T02:01:01Z"},{"alias_kind":"pith_short_12","alias_value":"AOGA5SUKXPA7","created_at":"2026-07-05T02:01:01Z"},{"alias_kind":"pith_short_16","alias_value":"AOGA5SUKXPA7ORKQ","created_at":"2026-07-05T02:01:01Z"},{"alias_kind":"pith_short_8","alias_value":"AOGA5SUK","created_at":"2026-07-05T02:01:01Z"}],"graph_snapshots":[{"event_id":"sha256:f40a023f380f707fc6be08f95d674569d27e73606a771bd59d4ada48a6230990","target":"graph","created_at":"2026-07-05T02:01:01Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2012.11389/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fine-grained visual classification (FGVC) aims to distinguish the sub-classes of the same category and its essential solution is to mine the subtle and discriminative regions. Convolution neural networks (CNNs), which employ the cross entropy loss (CE-loss) as the loss function, show poor performance since the model can only learn the most discriminative part and ignore other meaningful regions. Some existing works try to solve this problem by mining more discriminative regions by some detection techniques or attention mechanisms. However, most of them will meet the background noise problem wh","authors_text":"Dongliang Chang, Jun Guo, Ruoyi Du, Siqing Zhang, Zhanyu Ma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-21T14:41:08Z","title":"Knowledge Transfer Based Fine-grained Visual Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.11389","kind":"arxiv","version":1},"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:e29e3956797e4e2b2d9c8c23354ed2cfc9571b6fc921dcad94fb8748fca66e81","target":"record","created_at":"2026-07-05T02:01:01Z","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":"049831302a60bcf06504253298677b838f784b7a8cc351bd2f43effa62923733","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-21T14:41:08Z","title_canon_sha256":"2f4372417bd69b0ee5c4a0892b556b2ab121a6acaa049237d2b534f870f47c0f"},"schema_version":"1.0","source":{"id":"2012.11389","kind":"arxiv","version":1}},"canonical_sha256":"038c0eca8abbc1f745508f7b7606ae5cccc6db6dad6d9c1cabaf80db911646dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"038c0eca8abbc1f745508f7b7606ae5cccc6db6dad6d9c1cabaf80db911646dc","first_computed_at":"2026-07-05T02:01:01.587533Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:01:01.587533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y9mI4BMVfPZ9tkI+QZ9uOOUU3wIPrzUoJhnDbHpLK2rjT1Z8LMWjzfMW1hLdKEIn5hDmkkEV+lJ++dKqcoweDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:01:01.587927Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.11389","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e29e3956797e4e2b2d9c8c23354ed2cfc9571b6fc921dcad94fb8748fca66e81","sha256:f40a023f380f707fc6be08f95d674569d27e73606a771bd59d4ada48a6230990"],"state_sha256":"30114be70c445016df67c83b78af32cb6c9045d5f5e0729e518edfc84b673a80"}