{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:A75J25UBSZGWLMWUL75KQX373C","short_pith_number":"pith:A75J25UB","schema_version":"1.0","canonical_sha256":"07fa9d7681964d65b2d45ffaa85f7fd8861fb37d47a7e6e2b961607b945a9da8","source":{"kind":"arxiv","id":"1911.12739","version":1},"attestation_state":"computed","paper":{"title":"Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Bolei Zhou, Jianping Shi, Mingyu Ding, Ping Luo, Zhe Wang, Zhiwu Lu","submitted_at":"2019-11-28T15:01:35Z","abstract_excerpt":"A major challenge for video semantic segmentation is the lack of labeled data. In most benchmark datasets, only one frame of a video clip is annotated, which makes most supervised methods fail to utilize information from the rest of the frames. To exploit the spatio-temporal information in videos, many previous works use pre-computed optical flows, which encode the temporal consistency to improve the video segmentation. However, the video segmentation and optical flow estimation are still considered as two separate tasks. In this paper, we propose a novel framework for joint video semantic seg"},"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":"1911.12739","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-28T15:01:35Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"ee9fae4fe678c451323b12c6dbdf405f9d3e463acb49833d6cc0acd8d4801031","abstract_canon_sha256":"9b8fa8435cd6817415ff1b3524c3cb182dcacf415fee3ffb343c7c239c7f08b3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:22:48.682058Z","signature_b64":"t6PVWn+chO0YTyWYoaktPD/VMg6ezYwZO6pFyQycGYGL995tuOeHfaPByTVjW0IWJqrL94lQmEwikZYvHT8sDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"07fa9d7681964d65b2d45ffaa85f7fd8861fb37d47a7e6e2b961607b945a9da8","last_reissued_at":"2026-07-05T00:22:48.681723Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:22:48.681723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Bolei Zhou, Jianping Shi, Mingyu Ding, Ping Luo, Zhe Wang, Zhiwu Lu","submitted_at":"2019-11-28T15:01:35Z","abstract_excerpt":"A major challenge for video semantic segmentation is the lack of labeled data. In most benchmark datasets, only one frame of a video clip is annotated, which makes most supervised methods fail to utilize information from the rest of the frames. To exploit the spatio-temporal information in videos, many previous works use pre-computed optical flows, which encode the temporal consistency to improve the video segmentation. However, the video segmentation and optical flow estimation are still considered as two separate tasks. In this paper, we propose a novel framework for joint video semantic seg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.12739","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/1911.12739/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":"1911.12739","created_at":"2026-07-05T00:22:48.681777+00:00"},{"alias_kind":"arxiv_version","alias_value":"1911.12739v1","created_at":"2026-07-05T00:22:48.681777+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.12739","created_at":"2026-07-05T00:22:48.681777+00:00"},{"alias_kind":"pith_short_12","alias_value":"A75J25UBSZGW","created_at":"2026-07-05T00:22:48.681777+00:00"},{"alias_kind":"pith_short_16","alias_value":"A75J25UBSZGWLMWU","created_at":"2026-07-05T00:22:48.681777+00:00"},{"alias_kind":"pith_short_8","alias_value":"A75J25UB","created_at":"2026-07-05T00:22:48.681777+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/A75J25UBSZGWLMWUL75KQX373C","json":"https://pith.science/pith/A75J25UBSZGWLMWUL75KQX373C.json","graph_json":"https://pith.science/api/pith-number/A75J25UBSZGWLMWUL75KQX373C/graph.json","events_json":"https://pith.science/api/pith-number/A75J25UBSZGWLMWUL75KQX373C/events.json","paper":"https://pith.science/paper/A75J25UB"},"agent_actions":{"view_html":"https://pith.science/pith/A75J25UBSZGWLMWUL75KQX373C","download_json":"https://pith.science/pith/A75J25UBSZGWLMWUL75KQX373C.json","view_paper":"https://pith.science/paper/A75J25UB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1911.12739&json=true","fetch_graph":"https://pith.science/api/pith-number/A75J25UBSZGWLMWUL75KQX373C/graph.json","fetch_events":"https://pith.science/api/pith-number/A75J25UBSZGWLMWUL75KQX373C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A75J25UBSZGWLMWUL75KQX373C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A75J25UBSZGWLMWUL75KQX373C/action/storage_attestation","attest_author":"https://pith.science/pith/A75J25UBSZGWLMWUL75KQX373C/action/author_attestation","sign_citation":"https://pith.science/pith/A75J25UBSZGWLMWUL75KQX373C/action/citation_signature","submit_replication":"https://pith.science/pith/A75J25UBSZGWLMWUL75KQX373C/action/replication_record"}},"created_at":"2026-07-05T00:22:48.681777+00:00","updated_at":"2026-07-05T00:22:48.681777+00:00"}