{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:DB2O2ORTAOVZKFIR3KFBQ5NFZY","short_pith_number":"pith:DB2O2ORT","schema_version":"1.0","canonical_sha256":"1874ed3a3303ab951511da8a1875a5ce0e7025138cc79e84cff30a21e0dd568b","source":{"kind":"arxiv","id":"2210.09629","version":1},"attestation_state":"computed","paper":{"title":"1st Place Solutions for the UVO Challenge 2022","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Boyu Chen, Jiajun Zhang, Jinfeng Bai, Zhilong Ji, Zonghai Hu","submitted_at":"2022-10-18T06:54:37Z","abstract_excerpt":"This paper describes the approach we have taken in the challenge. We still adopted the two-stage scheme same as the last champion, that is, detection first and segmentation followed. We trained more powerful detector and segmentor separately. Besides, we also perform pseudo-label training on the test set, based on student-teacher framework and end-to-end transformer based object detection. The method ranks first on the 2nd Unidentified Video Objects (UVO) challenge, achieving AR@100 of 46.8, 64.7 and 32.2 in the limited data frame track, unlimited data frame track and video track respectively."},"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":"2210.09629","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-18T06:54:37Z","cross_cats_sorted":[],"title_canon_sha256":"424e66374be833a31b54f7de79cc8d4d6a378f5c59e1b8e450c8dbad2700a419","abstract_canon_sha256":"70f83e025a455eda74ee5aa230d52a3fdaeb3ce3eebed4099b373cf9bb266242"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:07:57.735589Z","signature_b64":"k7IYhxpY+250QjYifQG0Fb4aDd/17omKCvnaozYRxoh0C1xorXg1Bv4veY5eP/ND8XcSnQyoObhS8KK1rNL/Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1874ed3a3303ab951511da8a1875a5ce0e7025138cc79e84cff30a21e0dd568b","last_reissued_at":"2026-07-05T05:07:57.735165Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:07:57.735165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"1st Place Solutions for the UVO Challenge 2022","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Boyu Chen, Jiajun Zhang, Jinfeng Bai, Zhilong Ji, Zonghai Hu","submitted_at":"2022-10-18T06:54:37Z","abstract_excerpt":"This paper describes the approach we have taken in the challenge. We still adopted the two-stage scheme same as the last champion, that is, detection first and segmentation followed. We trained more powerful detector and segmentor separately. Besides, we also perform pseudo-label training on the test set, based on student-teacher framework and end-to-end transformer based object detection. The method ranks first on the 2nd Unidentified Video Objects (UVO) challenge, achieving AR@100 of 46.8, 64.7 and 32.2 in the limited data frame track, unlimited data frame track and video track respectively."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.09629","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/2210.09629/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":"2210.09629","created_at":"2026-07-05T05:07:57.735226+00:00"},{"alias_kind":"arxiv_version","alias_value":"2210.09629v1","created_at":"2026-07-05T05:07:57.735226+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.09629","created_at":"2026-07-05T05:07:57.735226+00:00"},{"alias_kind":"pith_short_12","alias_value":"DB2O2ORTAOVZ","created_at":"2026-07-05T05:07:57.735226+00:00"},{"alias_kind":"pith_short_16","alias_value":"DB2O2ORTAOVZKFIR","created_at":"2026-07-05T05:07:57.735226+00:00"},{"alias_kind":"pith_short_8","alias_value":"DB2O2ORT","created_at":"2026-07-05T05:07:57.735226+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/DB2O2ORTAOVZKFIR3KFBQ5NFZY","json":"https://pith.science/pith/DB2O2ORTAOVZKFIR3KFBQ5NFZY.json","graph_json":"https://pith.science/api/pith-number/DB2O2ORTAOVZKFIR3KFBQ5NFZY/graph.json","events_json":"https://pith.science/api/pith-number/DB2O2ORTAOVZKFIR3KFBQ5NFZY/events.json","paper":"https://pith.science/paper/DB2O2ORT"},"agent_actions":{"view_html":"https://pith.science/pith/DB2O2ORTAOVZKFIR3KFBQ5NFZY","download_json":"https://pith.science/pith/DB2O2ORTAOVZKFIR3KFBQ5NFZY.json","view_paper":"https://pith.science/paper/DB2O2ORT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2210.09629&json=true","fetch_graph":"https://pith.science/api/pith-number/DB2O2ORTAOVZKFIR3KFBQ5NFZY/graph.json","fetch_events":"https://pith.science/api/pith-number/DB2O2ORTAOVZKFIR3KFBQ5NFZY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DB2O2ORTAOVZKFIR3KFBQ5NFZY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DB2O2ORTAOVZKFIR3KFBQ5NFZY/action/storage_attestation","attest_author":"https://pith.science/pith/DB2O2ORTAOVZKFIR3KFBQ5NFZY/action/author_attestation","sign_citation":"https://pith.science/pith/DB2O2ORTAOVZKFIR3KFBQ5NFZY/action/citation_signature","submit_replication":"https://pith.science/pith/DB2O2ORTAOVZKFIR3KFBQ5NFZY/action/replication_record"}},"created_at":"2026-07-05T05:07:57.735226+00:00","updated_at":"2026-07-05T05:07:57.735226+00:00"}