{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:PRL6OCWQQMCYIPZ4TS5IRFA3KC","short_pith_number":"pith:PRL6OCWQ","schema_version":"1.0","canonical_sha256":"7c57e70ad08305843f3c9cba88941b50855fe2abd057608b82be38cbb9283440","source":{"kind":"arxiv","id":"1709.01784","version":1},"attestation_state":"computed","paper":{"title":"Cross-Domain Image Retrieval with Attention Modeling","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","cs.IR"],"primary_cat":"cs.MM","authors_text":"Meihui Zhang, Wei Wang, Xin Ji, Yang Yang","submitted_at":"2017-09-06T11:49:46Z","abstract_excerpt":"With the proliferation of e-commerce websites and the ubiquitousness of smart phones, cross-domain image retrieval using images taken by smart phones as queries to search products on e-commerce websites is emerging as a popular application. One challenge of this task is to locate the attention of both the query and database images. In particular, database images, e.g. of fashion products, on e-commerce websites are typically displayed with other accessories, and the images taken by users contain noisy background and large variations in orientation and lighting. Consequently, their attention is"},"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":"1709.01784","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2017-09-06T11:49:46Z","cross_cats_sorted":["cs.CV","cs.IR"],"title_canon_sha256":"cef85406d32e350bc9fcac50a98bd39dd5b4f8ef5afde4acc7d9c54fa0b7fd03","abstract_canon_sha256":"a233e9d80890778024b4d53ac13c5f694c70255609ec7c1ae3abcf25b93ea6df"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:54.373492Z","signature_b64":"7VbvtSNv44UtI+BVV7lTu7+lmE6ex2RQxHYUJXKdz4AQuggyxEGNfZRZsztChXpN0z0Vu+K2xSyr1eTyD28RCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c57e70ad08305843f3c9cba88941b50855fe2abd057608b82be38cbb9283440","last_reissued_at":"2026-05-18T00:35:54.372883Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:54.372883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cross-Domain Image Retrieval with Attention Modeling","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","cs.IR"],"primary_cat":"cs.MM","authors_text":"Meihui Zhang, Wei Wang, Xin Ji, Yang Yang","submitted_at":"2017-09-06T11:49:46Z","abstract_excerpt":"With the proliferation of e-commerce websites and the ubiquitousness of smart phones, cross-domain image retrieval using images taken by smart phones as queries to search products on e-commerce websites is emerging as a popular application. One challenge of this task is to locate the attention of both the query and database images. In particular, database images, e.g. of fashion products, on e-commerce websites are typically displayed with other accessories, and the images taken by users contain noisy background and large variations in orientation and lighting. Consequently, their attention is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.01784","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":"1709.01784","created_at":"2026-05-18T00:35:54.372967+00:00"},{"alias_kind":"arxiv_version","alias_value":"1709.01784v1","created_at":"2026-05-18T00:35:54.372967+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.01784","created_at":"2026-05-18T00:35:54.372967+00:00"},{"alias_kind":"pith_short_12","alias_value":"PRL6OCWQQMCY","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_16","alias_value":"PRL6OCWQQMCYIPZ4","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_8","alias_value":"PRL6OCWQ","created_at":"2026-05-18T12:31:37.085036+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/PRL6OCWQQMCYIPZ4TS5IRFA3KC","json":"https://pith.science/pith/PRL6OCWQQMCYIPZ4TS5IRFA3KC.json","graph_json":"https://pith.science/api/pith-number/PRL6OCWQQMCYIPZ4TS5IRFA3KC/graph.json","events_json":"https://pith.science/api/pith-number/PRL6OCWQQMCYIPZ4TS5IRFA3KC/events.json","paper":"https://pith.science/paper/PRL6OCWQ"},"agent_actions":{"view_html":"https://pith.science/pith/PRL6OCWQQMCYIPZ4TS5IRFA3KC","download_json":"https://pith.science/pith/PRL6OCWQQMCYIPZ4TS5IRFA3KC.json","view_paper":"https://pith.science/paper/PRL6OCWQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1709.01784&json=true","fetch_graph":"https://pith.science/api/pith-number/PRL6OCWQQMCYIPZ4TS5IRFA3KC/graph.json","fetch_events":"https://pith.science/api/pith-number/PRL6OCWQQMCYIPZ4TS5IRFA3KC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PRL6OCWQQMCYIPZ4TS5IRFA3KC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PRL6OCWQQMCYIPZ4TS5IRFA3KC/action/storage_attestation","attest_author":"https://pith.science/pith/PRL6OCWQQMCYIPZ4TS5IRFA3KC/action/author_attestation","sign_citation":"https://pith.science/pith/PRL6OCWQQMCYIPZ4TS5IRFA3KC/action/citation_signature","submit_replication":"https://pith.science/pith/PRL6OCWQQMCYIPZ4TS5IRFA3KC/action/replication_record"}},"created_at":"2026-05-18T00:35:54.372967+00:00","updated_at":"2026-05-18T00:35:54.372967+00:00"}