{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:AU66KJSALUSVLHTIHJCA4RZBTY","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":"b53b259aacccd127aaba1a728d66a89ddb77896b39d50dc300c48f438441cb81","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-11T13:50:07Z","title_canon_sha256":"67fc2fbe2e1d4663043c32a19d01e838370aeeafb382a152b2175d8ab015396e"},"schema_version":"1.0","source":{"id":"1608.03462","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.03462","created_at":"2026-05-18T00:45:20Z"},{"alias_kind":"arxiv_version","alias_value":"1608.03462v2","created_at":"2026-05-18T00:45:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.03462","created_at":"2026-05-18T00:45:20Z"},{"alias_kind":"pith_short_12","alias_value":"AU66KJSALUSV","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"AU66KJSALUSVLHTI","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"AU66KJSA","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:34e90656a67c3e5a3a45bb772b61de31d980921a66dd8b62cad21530ecbce1c8","target":"graph","created_at":"2026-05-18T00:45:20Z","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":"Multi-view product image queries can improve retrieval performance over single view queries significantly. In this paper, we investigated the performance of deep convolutional neural networks (ConvNets) on multi-view product image search. First, we trained a VGG-like network to learn deep ConvNets representations of product images. Then, we computed the deep ConvNets representations of database and query images and performed single view queries, and multi-view queries using several early and late fusion approaches.\n  We performed extensive experiments on the publicly available Multi-View Objec","authors_text":"Muhammet Bastan, Ozgur Yilmaz","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-11T13:50:07Z","title":"Multi-View Product Image Search Using Deep ConvNets Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.03462","kind":"arxiv","version":2},"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":"sha256:28d698009201076fcb9de31b439b54dd41ad12a281cfa347a71359dc6b35bd62","target":"record","created_at":"2026-05-18T00:45:20Z","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":"b53b259aacccd127aaba1a728d66a89ddb77896b39d50dc300c48f438441cb81","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-11T13:50:07Z","title_canon_sha256":"67fc2fbe2e1d4663043c32a19d01e838370aeeafb382a152b2175d8ab015396e"},"schema_version":"1.0","source":{"id":"1608.03462","kind":"arxiv","version":2}},"canonical_sha256":"053de526405d25559e683a440e47219e190d445c35f6d30b53cb379c9a06216f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"053de526405d25559e683a440e47219e190d445c35f6d30b53cb379c9a06216f","first_computed_at":"2026-05-18T00:45:20.047455Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:20.047455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4HE1lSJPMBQmLNvt+YuIahayMaJnfgNVecHn5nONkpWE5lkmR7ZlDgTdagYkOzKrCQRoo+SlRFhc3753EyPvCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:20.048249Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.03462","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:28d698009201076fcb9de31b439b54dd41ad12a281cfa347a71359dc6b35bd62","sha256:34e90656a67c3e5a3a45bb772b61de31d980921a66dd8b62cad21530ecbce1c8"],"state_sha256":"ed27248ffcc7eb5adb1d46c5e9531d140402f49357b0071b5249db2063f38096"}