{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:XQQ7YFU63IBQ7UVAIHM4M3OBS3","short_pith_number":"pith:XQQ7YFU6","schema_version":"1.0","canonical_sha256":"bc21fc169eda030fd2a041d9c66dc196f3cf39addac46a40b45a6e55bc866d8b","source":{"kind":"arxiv","id":"1412.2604","version":2},"attestation_state":"computed","paper":{"title":"Actions and Attributes from Wholes and Parts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Georgia Gkioxari, Jitendra Malik, Ross Girshick","submitted_at":"2014-12-08T15:28:21Z","abstract_excerpt":"We investigate the importance of parts for the tasks of action and attribute classification. We develop a part-based approach by leveraging convolutional network features inspired by recent advances in computer vision. Our part detectors are a deep version of poselets and capture parts of the human body under a distinct set of poses. For the tasks of action and attribute classification, we train holistic convolutional neural networks and show that adding parts leads to top-performing results for both tasks. In addition, we demonstrate the effectiveness of our approach when we replace an oracle"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1412.2604","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-08T15:28:21Z","cross_cats_sorted":[],"title_canon_sha256":"1bc035a7eada6cf9a82d757dc9d35a4be21301016ad1b1c40525a69e7b833c67","abstract_canon_sha256":"5f0786ac47f571c1cd09236fc84a5f2281532cc7e5b4d6fc3ac5ad419dbfbdd4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:16:51.005073Z","signature_b64":"Jv0vcK6PzsG0j4Uzy5+v5uJXfUuKtKys7Wvn+I/u63MyIjbx8wFAPR48yuHSf3aMEFwBQAVMuJ9xkf4hiLZ0AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc21fc169eda030fd2a041d9c66dc196f3cf39addac46a40b45a6e55bc866d8b","last_reissued_at":"2026-05-18T02:16:51.004081Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:16:51.004081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Actions and Attributes from Wholes and Parts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Georgia Gkioxari, Jitendra Malik, Ross Girshick","submitted_at":"2014-12-08T15:28:21Z","abstract_excerpt":"We investigate the importance of parts for the tasks of action and attribute classification. We develop a part-based approach by leveraging convolutional network features inspired by recent advances in computer vision. Our part detectors are a deep version of poselets and capture parts of the human body under a distinct set of poses. For the tasks of action and attribute classification, we train holistic convolutional neural networks and show that adding parts leads to top-performing results for both tasks. In addition, we demonstrate the effectiveness of our approach when we replace an oracle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.2604","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1412.2604","created_at":"2026-05-18T02:16:51.004248+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.2604v2","created_at":"2026-05-18T02:16:51.004248+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.2604","created_at":"2026-05-18T02:16:51.004248+00:00"},{"alias_kind":"pith_short_12","alias_value":"XQQ7YFU63IBQ","created_at":"2026-05-18T12:28:57.508820+00:00"},{"alias_kind":"pith_short_16","alias_value":"XQQ7YFU63IBQ7UVA","created_at":"2026-05-18T12:28:57.508820+00:00"},{"alias_kind":"pith_short_8","alias_value":"XQQ7YFU6","created_at":"2026-05-18T12:28:57.508820+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3","json":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3.json","graph_json":"https://pith.science/api/pith-number/XQQ7YFU63IBQ7UVAIHM4M3OBS3/graph.json","events_json":"https://pith.science/api/pith-number/XQQ7YFU63IBQ7UVAIHM4M3OBS3/events.json","paper":"https://pith.science/paper/XQQ7YFU6"},"agent_actions":{"view_html":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3","download_json":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3.json","view_paper":"https://pith.science/paper/XQQ7YFU6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.2604&json=true","fetch_graph":"https://pith.science/api/pith-number/XQQ7YFU63IBQ7UVAIHM4M3OBS3/graph.json","fetch_events":"https://pith.science/api/pith-number/XQQ7YFU63IBQ7UVAIHM4M3OBS3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3/action/storage_attestation","attest_author":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3/action/author_attestation","sign_citation":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3/action/citation_signature","submit_replication":"https://pith.science/pith/XQQ7YFU63IBQ7UVAIHM4M3OBS3/action/replication_record"}},"created_at":"2026-05-18T02:16:51.004248+00:00","updated_at":"2026-05-18T02:16:51.004248+00:00"}