{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:7HYFBCVCYVGFPKQBNX3TIMCJ7S","short_pith_number":"pith:7HYFBCVC","schema_version":"1.0","canonical_sha256":"f9f0508aa2c54c57aa016df7343049fc90876cfa7d595d9c5af7db6b2a6c8b06","source":{"kind":"arxiv","id":"1912.01373","version":1},"attestation_state":"computed","paper":{"title":"Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Nam Ik Cho, Sungkwon Choo, Wonkyo Seo","submitted_at":"2019-12-03T14:02:59Z","abstract_excerpt":"This paper presents a method for automatic video object segmentation based on the fusion of motion stream, appearance stream, and instance-aware segmentation. The proposed scheme consists of a two-stream fusion network and an instance segmentation network. The two-stream fusion network again consists of motion and appearance stream networks, which extract long-term temporal and spatial information, respectively. Unlike the existing two-stream fusion methods, the proposed fusion network blends the two streams at the original resolution for obtaining accurate segmentation boundary. We develop a "},"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":"1912.01373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-03T14:02:59Z","cross_cats_sorted":[],"title_canon_sha256":"195b26332ada01f3c617e8abe4907c9d2e10416db757dbede44d82eb11346792","abstract_canon_sha256":"0d541c0b70f2e65d999f40043550b37aca2cbc9ae991657ede95f7deafb21327"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:23:30.559561Z","signature_b64":"6hDwAUILQnEhsNOlCZRrPjQyhHfOgNISzquaJVdMZHBA9S5sRoWQFeqD+JsVi9+GNBrGlBIdsitsffGZRyfFBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9f0508aa2c54c57aa016df7343049fc90876cfa7d595d9c5af7db6b2a6c8b06","last_reissued_at":"2026-07-05T00:23:30.559076Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:23:30.559076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Nam Ik Cho, Sungkwon Choo, Wonkyo Seo","submitted_at":"2019-12-03T14:02:59Z","abstract_excerpt":"This paper presents a method for automatic video object segmentation based on the fusion of motion stream, appearance stream, and instance-aware segmentation. The proposed scheme consists of a two-stream fusion network and an instance segmentation network. The two-stream fusion network again consists of motion and appearance stream networks, which extract long-term temporal and spatial information, respectively. Unlike the existing two-stream fusion methods, the proposed fusion network blends the two streams at the original resolution for obtaining accurate segmentation boundary. We develop a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.01373","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/1912.01373/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":"1912.01373","created_at":"2026-07-05T00:23:30.559136+00:00"},{"alias_kind":"arxiv_version","alias_value":"1912.01373v1","created_at":"2026-07-05T00:23:30.559136+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.01373","created_at":"2026-07-05T00:23:30.559136+00:00"},{"alias_kind":"pith_short_12","alias_value":"7HYFBCVCYVGF","created_at":"2026-07-05T00:23:30.559136+00:00"},{"alias_kind":"pith_short_16","alias_value":"7HYFBCVCYVGFPKQB","created_at":"2026-07-05T00:23:30.559136+00:00"},{"alias_kind":"pith_short_8","alias_value":"7HYFBCVC","created_at":"2026-07-05T00:23:30.559136+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/7HYFBCVCYVGFPKQBNX3TIMCJ7S","json":"https://pith.science/pith/7HYFBCVCYVGFPKQBNX3TIMCJ7S.json","graph_json":"https://pith.science/api/pith-number/7HYFBCVCYVGFPKQBNX3TIMCJ7S/graph.json","events_json":"https://pith.science/api/pith-number/7HYFBCVCYVGFPKQBNX3TIMCJ7S/events.json","paper":"https://pith.science/paper/7HYFBCVC"},"agent_actions":{"view_html":"https://pith.science/pith/7HYFBCVCYVGFPKQBNX3TIMCJ7S","download_json":"https://pith.science/pith/7HYFBCVCYVGFPKQBNX3TIMCJ7S.json","view_paper":"https://pith.science/paper/7HYFBCVC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1912.01373&json=true","fetch_graph":"https://pith.science/api/pith-number/7HYFBCVCYVGFPKQBNX3TIMCJ7S/graph.json","fetch_events":"https://pith.science/api/pith-number/7HYFBCVCYVGFPKQBNX3TIMCJ7S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7HYFBCVCYVGFPKQBNX3TIMCJ7S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7HYFBCVCYVGFPKQBNX3TIMCJ7S/action/storage_attestation","attest_author":"https://pith.science/pith/7HYFBCVCYVGFPKQBNX3TIMCJ7S/action/author_attestation","sign_citation":"https://pith.science/pith/7HYFBCVCYVGFPKQBNX3TIMCJ7S/action/citation_signature","submit_replication":"https://pith.science/pith/7HYFBCVCYVGFPKQBNX3TIMCJ7S/action/replication_record"}},"created_at":"2026-07-05T00:23:30.559136+00:00","updated_at":"2026-07-05T00:23:30.559136+00:00"}