{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:7Y7ZASVGQZQH7B43ZHNJQBQZHT","short_pith_number":"pith:7Y7ZASVG","schema_version":"1.0","canonical_sha256":"fe3f904aa686607f879bc9da9806193cf4f30877857e68d98cbc0245966cc865","source":{"kind":"arxiv","id":"2109.13423","version":1},"attestation_state":"computed","paper":{"title":"Weakly Supervised Keypoint Discovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Pietro Perona, Serim Ryou","submitted_at":"2021-09-28T01:26:53Z","abstract_excerpt":"In this paper, we propose a method for keypoint discovery from a 2D image using image-level supervision. Recent works on unsupervised keypoint discovery reliably discover keypoints of aligned instances. However, when the target instances have high viewpoint or appearance variation, the discovered keypoints do not match the semantic correspondences over different images. Our work aims to discover keypoints even when the target instances have high viewpoint and appearance variation by using image-level supervision. Motivated by the weakly-supervised learning approach, our method exploits image-l"},"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":"2109.13423","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-28T01:26:53Z","cross_cats_sorted":[],"title_canon_sha256":"4f5585f2f5ca4e83afff538a47fdbade94b394c0018e017c2254dc2571d8500e","abstract_canon_sha256":"ca6513b52278f7f2fd3a564faa012123c576a25ef20a78d8a99b325c85373396"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:18:02.544686Z","signature_b64":"D0+J3vuHBrrSKL5KkIw/GhWSp7b5SktglrnV2N9GQkH2jQaedW8E+w2RhmNcBNW30d2NZnxJ/h4gJVlfaikcBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe3f904aa686607f879bc9da9806193cf4f30877857e68d98cbc0245966cc865","last_reissued_at":"2026-07-05T03:18:02.544343Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:18:02.544343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Weakly Supervised Keypoint Discovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Pietro Perona, Serim Ryou","submitted_at":"2021-09-28T01:26:53Z","abstract_excerpt":"In this paper, we propose a method for keypoint discovery from a 2D image using image-level supervision. Recent works on unsupervised keypoint discovery reliably discover keypoints of aligned instances. However, when the target instances have high viewpoint or appearance variation, the discovered keypoints do not match the semantic correspondences over different images. Our work aims to discover keypoints even when the target instances have high viewpoint and appearance variation by using image-level supervision. Motivated by the weakly-supervised learning approach, our method exploits image-l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.13423","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/2109.13423/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":"2109.13423","created_at":"2026-07-05T03:18:02.544398+00:00"},{"alias_kind":"arxiv_version","alias_value":"2109.13423v1","created_at":"2026-07-05T03:18:02.544398+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.13423","created_at":"2026-07-05T03:18:02.544398+00:00"},{"alias_kind":"pith_short_12","alias_value":"7Y7ZASVGQZQH","created_at":"2026-07-05T03:18:02.544398+00:00"},{"alias_kind":"pith_short_16","alias_value":"7Y7ZASVGQZQH7B43","created_at":"2026-07-05T03:18:02.544398+00:00"},{"alias_kind":"pith_short_8","alias_value":"7Y7ZASVG","created_at":"2026-07-05T03:18:02.544398+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/7Y7ZASVGQZQH7B43ZHNJQBQZHT","json":"https://pith.science/pith/7Y7ZASVGQZQH7B43ZHNJQBQZHT.json","graph_json":"https://pith.science/api/pith-number/7Y7ZASVGQZQH7B43ZHNJQBQZHT/graph.json","events_json":"https://pith.science/api/pith-number/7Y7ZASVGQZQH7B43ZHNJQBQZHT/events.json","paper":"https://pith.science/paper/7Y7ZASVG"},"agent_actions":{"view_html":"https://pith.science/pith/7Y7ZASVGQZQH7B43ZHNJQBQZHT","download_json":"https://pith.science/pith/7Y7ZASVGQZQH7B43ZHNJQBQZHT.json","view_paper":"https://pith.science/paper/7Y7ZASVG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2109.13423&json=true","fetch_graph":"https://pith.science/api/pith-number/7Y7ZASVGQZQH7B43ZHNJQBQZHT/graph.json","fetch_events":"https://pith.science/api/pith-number/7Y7ZASVGQZQH7B43ZHNJQBQZHT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7Y7ZASVGQZQH7B43ZHNJQBQZHT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7Y7ZASVGQZQH7B43ZHNJQBQZHT/action/storage_attestation","attest_author":"https://pith.science/pith/7Y7ZASVGQZQH7B43ZHNJQBQZHT/action/author_attestation","sign_citation":"https://pith.science/pith/7Y7ZASVGQZQH7B43ZHNJQBQZHT/action/citation_signature","submit_replication":"https://pith.science/pith/7Y7ZASVGQZQH7B43ZHNJQBQZHT/action/replication_record"}},"created_at":"2026-07-05T03:18:02.544398+00:00","updated_at":"2026-07-05T03:18:02.544398+00:00"}