{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:LE2T7ZO47SEPAZZWYXLHZSQO67","short_pith_number":"pith:LE2T7ZO4","schema_version":"1.0","canonical_sha256":"59353fe5dcfc88f06736c5d67cca0ef7cff6fcfe05d1351fdb4c85bdd12b1758","source":{"kind":"arxiv","id":"2111.10617","version":1},"attestation_state":"computed","paper":{"title":"Extracting Deformation-Aware Local Features by Learning to Deform","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Erickson R. Nascimento, Felipe Cadar, Guilherme Potje, Renato Martins","submitted_at":"2021-11-20T15:46:33Z","abstract_excerpt":"Despite the advances in extracting local features achieved by handcrafted and learning-based descriptors, they are still limited by the lack of invariance to non-rigid transformations. In this paper, we present a new approach to compute features from still images that are robust to non-rigid deformations to circumvent the problem of matching deformable surfaces and objects. Our deformation-aware local descriptor, named DEAL, leverages a polar sampling and a spatial transformer warping to provide invariance to rotation, scale, and image deformations. We train the model architecture end-to-end b"},"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":"2111.10617","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-20T15:46:33Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f25bd5b3b6d12f7af5502ae5007b5e40fedbc69032a5e26c0fc500e563ec49b1","abstract_canon_sha256":"308dbc885a117dfc5dbe36e46a2524e64f849ce3bdbe104d14fdaa0eb8355788"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:33:54.950378Z","signature_b64":"kBk6YbeMcooInvxV6l0vC22bAN+REu7flZTBU35FDQWIAKbTRX4FsNOf7kTGHsoc6gAGCTZ2OmWIWR2CJT16Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59353fe5dcfc88f06736c5d67cca0ef7cff6fcfe05d1351fdb4c85bdd12b1758","last_reissued_at":"2026-07-05T03:33:54.949913Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:33:54.949913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Extracting Deformation-Aware Local Features by Learning to Deform","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Erickson R. Nascimento, Felipe Cadar, Guilherme Potje, Renato Martins","submitted_at":"2021-11-20T15:46:33Z","abstract_excerpt":"Despite the advances in extracting local features achieved by handcrafted and learning-based descriptors, they are still limited by the lack of invariance to non-rigid transformations. In this paper, we present a new approach to compute features from still images that are robust to non-rigid deformations to circumvent the problem of matching deformable surfaces and objects. Our deformation-aware local descriptor, named DEAL, leverages a polar sampling and a spatial transformer warping to provide invariance to rotation, scale, and image deformations. We train the model architecture end-to-end b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.10617","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2111.10617/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2111.10617","created_at":"2026-07-05T03:33:54.949974+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.10617v1","created_at":"2026-07-05T03:33:54.949974+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.10617","created_at":"2026-07-05T03:33:54.949974+00:00"},{"alias_kind":"pith_short_12","alias_value":"LE2T7ZO47SEP","created_at":"2026-07-05T03:33:54.949974+00:00"},{"alias_kind":"pith_short_16","alias_value":"LE2T7ZO47SEPAZZW","created_at":"2026-07-05T03:33:54.949974+00:00"},{"alias_kind":"pith_short_8","alias_value":"LE2T7ZO4","created_at":"2026-07-05T03:33:54.949974+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/LE2T7ZO47SEPAZZWYXLHZSQO67","json":"https://pith.science/pith/LE2T7ZO47SEPAZZWYXLHZSQO67.json","graph_json":"https://pith.science/api/pith-number/LE2T7ZO47SEPAZZWYXLHZSQO67/graph.json","events_json":"https://pith.science/api/pith-number/LE2T7ZO47SEPAZZWYXLHZSQO67/events.json","paper":"https://pith.science/paper/LE2T7ZO4"},"agent_actions":{"view_html":"https://pith.science/pith/LE2T7ZO47SEPAZZWYXLHZSQO67","download_json":"https://pith.science/pith/LE2T7ZO47SEPAZZWYXLHZSQO67.json","view_paper":"https://pith.science/paper/LE2T7ZO4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.10617&json=true","fetch_graph":"https://pith.science/api/pith-number/LE2T7ZO47SEPAZZWYXLHZSQO67/graph.json","fetch_events":"https://pith.science/api/pith-number/LE2T7ZO47SEPAZZWYXLHZSQO67/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LE2T7ZO47SEPAZZWYXLHZSQO67/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LE2T7ZO47SEPAZZWYXLHZSQO67/action/storage_attestation","attest_author":"https://pith.science/pith/LE2T7ZO47SEPAZZWYXLHZSQO67/action/author_attestation","sign_citation":"https://pith.science/pith/LE2T7ZO47SEPAZZWYXLHZSQO67/action/citation_signature","submit_replication":"https://pith.science/pith/LE2T7ZO47SEPAZZWYXLHZSQO67/action/replication_record"}},"created_at":"2026-07-05T03:33:54.949974+00:00","updated_at":"2026-07-05T03:33:54.949974+00:00"}