{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:VKPH36LILOAYTLUTC32H5PO6UB","short_pith_number":"pith:VKPH36LI","schema_version":"1.0","canonical_sha256":"aa9e7df9685b8189ae9316f47ebddea070840c52d064d3457e0a9e30f1699307","source":{"kind":"arxiv","id":"1505.07922","version":1},"attestation_state":"computed","paper":{"title":"Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junshi Huang, Qiang Chen, Rogerio S. Feris, Shuicheng Yan","submitted_at":"2015-05-29T04:46:37Z","abstract_excerpt":"We address the problem of cross-domain image retrieval, considering the following practical application: given a user photo depicting a clothing image, our goal is to retrieve the same or attribute-similar clothing items from online shopping stores. This is a challenging problem due to the large discrepancy between online shopping images, usually taken in ideal lighting/pose/background conditions, and user photos captured in uncontrolled conditions. To address this problem, we propose a Dual Attribute-aware Ranking Network (DARN) for retrieval feature learning. More specifically, DARN consists"},"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":"1505.07922","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-29T04:46:37Z","cross_cats_sorted":[],"title_canon_sha256":"e39a236fe1fe06b47f32a1c6c82d094a18745472b02990ba07613df6e90af022","abstract_canon_sha256":"795915bf6f3ec1e81ff986719f14df1ab8b655405366607168f200b8deaed2b7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:00:00.313774Z","signature_b64":"feuk8GOxf6K8thTlwTDN0DG/rD4sO4UVLCQha70p9OwopK+KCTtvlZZ6OwStXHQnCzNPIL62I0hZ+I5NZ8zPAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa9e7df9685b8189ae9316f47ebddea070840c52d064d3457e0a9e30f1699307","last_reissued_at":"2026-05-18T02:00:00.313075Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:00:00.313075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junshi Huang, Qiang Chen, Rogerio S. Feris, Shuicheng Yan","submitted_at":"2015-05-29T04:46:37Z","abstract_excerpt":"We address the problem of cross-domain image retrieval, considering the following practical application: given a user photo depicting a clothing image, our goal is to retrieve the same or attribute-similar clothing items from online shopping stores. This is a challenging problem due to the large discrepancy between online shopping images, usually taken in ideal lighting/pose/background conditions, and user photos captured in uncontrolled conditions. To address this problem, we propose a Dual Attribute-aware Ranking Network (DARN) for retrieval feature learning. More specifically, DARN consists"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.07922","kind":"arxiv","version":1},"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":"1505.07922","created_at":"2026-05-18T02:00:00.313185+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.07922v1","created_at":"2026-05-18T02:00:00.313185+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.07922","created_at":"2026-05-18T02:00:00.313185+00:00"},{"alias_kind":"pith_short_12","alias_value":"VKPH36LILOAY","created_at":"2026-05-18T12:29:44.643036+00:00"},{"alias_kind":"pith_short_16","alias_value":"VKPH36LILOAYTLUT","created_at":"2026-05-18T12:29:44.643036+00:00"},{"alias_kind":"pith_short_8","alias_value":"VKPH36LI","created_at":"2026-05-18T12:29:44.643036+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/VKPH36LILOAYTLUTC32H5PO6UB","json":"https://pith.science/pith/VKPH36LILOAYTLUTC32H5PO6UB.json","graph_json":"https://pith.science/api/pith-number/VKPH36LILOAYTLUTC32H5PO6UB/graph.json","events_json":"https://pith.science/api/pith-number/VKPH36LILOAYTLUTC32H5PO6UB/events.json","paper":"https://pith.science/paper/VKPH36LI"},"agent_actions":{"view_html":"https://pith.science/pith/VKPH36LILOAYTLUTC32H5PO6UB","download_json":"https://pith.science/pith/VKPH36LILOAYTLUTC32H5PO6UB.json","view_paper":"https://pith.science/paper/VKPH36LI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.07922&json=true","fetch_graph":"https://pith.science/api/pith-number/VKPH36LILOAYTLUTC32H5PO6UB/graph.json","fetch_events":"https://pith.science/api/pith-number/VKPH36LILOAYTLUTC32H5PO6UB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VKPH36LILOAYTLUTC32H5PO6UB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VKPH36LILOAYTLUTC32H5PO6UB/action/storage_attestation","attest_author":"https://pith.science/pith/VKPH36LILOAYTLUTC32H5PO6UB/action/author_attestation","sign_citation":"https://pith.science/pith/VKPH36LILOAYTLUTC32H5PO6UB/action/citation_signature","submit_replication":"https://pith.science/pith/VKPH36LILOAYTLUTC32H5PO6UB/action/replication_record"}},"created_at":"2026-05-18T02:00:00.313185+00:00","updated_at":"2026-05-18T02:00:00.313185+00:00"}