{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:I2LFAVRZUDM6R76ABX6D3KDAMI","short_pith_number":"pith:I2LFAVRZ","schema_version":"1.0","canonical_sha256":"4696505639a0d9e8ffc00dfc3da860623009f4e7e0781d4014de06b9dcfc73ef","source":{"kind":"arxiv","id":"1907.05288","version":1},"attestation_state":"computed","paper":{"title":"Visualizing and Describing Fine-grained Categories as Textures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenyun Wu, Mikayla Timm, Subhransu Maji, Tsung-Yu Lin","submitted_at":"2019-07-02T00:19:37Z","abstract_excerpt":"We analyze how categories from recent FGVC challenges can be described by their textural content. The motivation is that subtle differences between species of birds or butterflies can often be described in terms of the texture associated with them and that several top-performing networks are inspired by texture-based representations. These representations are characterized by orderless pooling of second-order filter activations such as in bilinear CNNs and the winner of the iNaturalist 2018 challenge. Concretely, for each category we (i) visualize the \"maximal images\" by obtaining inputs x tha"},"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":"1907.05288","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-02T00:19:37Z","cross_cats_sorted":[],"title_canon_sha256":"bb958074935a34c6335c6d8c5073a81662069531402cb708981c7bebe9033e1c","abstract_canon_sha256":"3347e144c7552691ff7405ccd44d9fbadfee185ad97c2360a309802aea888dfe"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:50.887171Z","signature_b64":"084AsFMmnarwzztCJ/tITsQFycCIwczUdhs5wlsVj9WO8FUm+5/MldW0jJBNgXIcJ9XTgAdpQGbEv+VFM3SpCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4696505639a0d9e8ffc00dfc3da860623009f4e7e0781d4014de06b9dcfc73ef","last_reissued_at":"2026-05-17T23:40:50.886515Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:50.886515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Visualizing and Describing Fine-grained Categories as Textures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenyun Wu, Mikayla Timm, Subhransu Maji, Tsung-Yu Lin","submitted_at":"2019-07-02T00:19:37Z","abstract_excerpt":"We analyze how categories from recent FGVC challenges can be described by their textural content. The motivation is that subtle differences between species of birds or butterflies can often be described in terms of the texture associated with them and that several top-performing networks are inspired by texture-based representations. These representations are characterized by orderless pooling of second-order filter activations such as in bilinear CNNs and the winner of the iNaturalist 2018 challenge. Concretely, for each category we (i) visualize the \"maximal images\" by obtaining inputs x tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05288","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":"1907.05288","created_at":"2026-05-17T23:40:50.886612+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.05288v1","created_at":"2026-05-17T23:40:50.886612+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05288","created_at":"2026-05-17T23:40:50.886612+00:00"},{"alias_kind":"pith_short_12","alias_value":"I2LFAVRZUDM6","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"I2LFAVRZUDM6R76A","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"I2LFAVRZ","created_at":"2026-05-18T12:33:18.533446+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/I2LFAVRZUDM6R76ABX6D3KDAMI","json":"https://pith.science/pith/I2LFAVRZUDM6R76ABX6D3KDAMI.json","graph_json":"https://pith.science/api/pith-number/I2LFAVRZUDM6R76ABX6D3KDAMI/graph.json","events_json":"https://pith.science/api/pith-number/I2LFAVRZUDM6R76ABX6D3KDAMI/events.json","paper":"https://pith.science/paper/I2LFAVRZ"},"agent_actions":{"view_html":"https://pith.science/pith/I2LFAVRZUDM6R76ABX6D3KDAMI","download_json":"https://pith.science/pith/I2LFAVRZUDM6R76ABX6D3KDAMI.json","view_paper":"https://pith.science/paper/I2LFAVRZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.05288&json=true","fetch_graph":"https://pith.science/api/pith-number/I2LFAVRZUDM6R76ABX6D3KDAMI/graph.json","fetch_events":"https://pith.science/api/pith-number/I2LFAVRZUDM6R76ABX6D3KDAMI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I2LFAVRZUDM6R76ABX6D3KDAMI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I2LFAVRZUDM6R76ABX6D3KDAMI/action/storage_attestation","attest_author":"https://pith.science/pith/I2LFAVRZUDM6R76ABX6D3KDAMI/action/author_attestation","sign_citation":"https://pith.science/pith/I2LFAVRZUDM6R76ABX6D3KDAMI/action/citation_signature","submit_replication":"https://pith.science/pith/I2LFAVRZUDM6R76ABX6D3KDAMI/action/replication_record"}},"created_at":"2026-05-17T23:40:50.886612+00:00","updated_at":"2026-05-17T23:40:50.886612+00:00"}