{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JDICGIVYLUX5BWZASD4A34Y5B6","short_pith_number":"pith:JDICGIVY","canonical_record":{"source":{"id":"1806.02323","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T17:43:13Z","cross_cats_sorted":[],"title_canon_sha256":"b977122ae5e593cebccdb61d3247ec59d024adb31281aefcf8aa765bf109edeb","abstract_canon_sha256":"b241718873a16e0085b24a5613bb889d58768f02890cf807bc55343e092eb427"},"schema_version":"1.0"},"canonical_sha256":"48d02322b85d2fd0db2090f80df31d0f8ecdecbfb65a8cda65dba72fb6a1430f","source":{"kind":"arxiv","id":"1806.02323","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02323","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02323v1","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02323","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"pith_short_12","alias_value":"JDICGIVYLUX5","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JDICGIVYLUX5BWZA","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JDICGIVY","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JDICGIVYLUX5BWZASD4A34Y5B6","target":"record","payload":{"canonical_record":{"source":{"id":"1806.02323","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T17:43:13Z","cross_cats_sorted":[],"title_canon_sha256":"b977122ae5e593cebccdb61d3247ec59d024adb31281aefcf8aa765bf109edeb","abstract_canon_sha256":"b241718873a16e0085b24a5613bb889d58768f02890cf807bc55343e092eb427"},"schema_version":"1.0"},"canonical_sha256":"48d02322b85d2fd0db2090f80df31d0f8ecdecbfb65a8cda65dba72fb6a1430f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:01.829522Z","signature_b64":"8aXRSKvgO9DywBbHVdoLid3CSoQaFlbBCSXd8ZVC0HKbftmJ8zYkR56+N/y8+hfbx3mZ1OoAcJBaxpFKvToGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"48d02322b85d2fd0db2090f80df31d0f8ecdecbfb65a8cda65dba72fb6a1430f","last_reissued_at":"2026-05-18T00:14:01.828817Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:01.828817Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.02323","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:14:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OfWYrPI7D58XvFEPYoacnD80pfyWKH6mBPcFIQ9L77CNr+2INU5ZUQjXXK+9/fzwgLtXv2jdQ+0Yo+45U0nUBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T05:23:58.390736Z"},"content_sha256":"17659a83fbb3b57dce8e185dfb8757aec814d737a0c4f332c360ffe1cd14ffd4","schema_version":"1.0","event_id":"sha256:17659a83fbb3b57dce8e185dfb8757aec814d737a0c4f332c360ffe1cd14ffd4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JDICGIVYLUX5BWZASD4A34Y5B6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast and Accurate Online Video Object Segmentation via Tracking Parts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jingchun Cheng, Ming-Hsuan Yang, Shengjin Wang, Wei-Chih Hung, Yi-Hsuan Tsai","submitted_at":"2018-06-06T17:43:13Z","abstract_excerpt":"Online video object segmentation is a challenging task as it entails to process the image sequence timely and accurately. To segment a target object through the video, numerous CNN-based methods have been developed by heavily finetuning on the object mask in the first frame, which is time-consuming for online applications. In this paper, we propose a fast and accurate video object segmentation algorithm that can immediately start the segmentation process once receiving the images. We first utilize a part-based tracking method to deal with challenging factors such as large deformation, occlusio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02323","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:14:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H7dHwha95cGAjugdguIYeoR6tlOofvXu/i4vX73ga8XFOKni5ubsbTdiN1l7/ubU15bZgAq49Mr2pXvpsbPuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T05:23:58.391344Z"},"content_sha256":"f9cf34a08f583af8cdb3ee168202a2cdda962bc6044182845dc97963a8f63e7d","schema_version":"1.0","event_id":"sha256:f9cf34a08f583af8cdb3ee168202a2cdda962bc6044182845dc97963a8f63e7d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JDICGIVYLUX5BWZASD4A34Y5B6/bundle.json","state_url":"https://pith.science/pith/JDICGIVYLUX5BWZASD4A34Y5B6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JDICGIVYLUX5BWZASD4A34Y5B6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-19T05:23:58Z","links":{"resolver":"https://pith.science/pith/JDICGIVYLUX5BWZASD4A34Y5B6","bundle":"https://pith.science/pith/JDICGIVYLUX5BWZASD4A34Y5B6/bundle.json","state":"https://pith.science/pith/JDICGIVYLUX5BWZASD4A34Y5B6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JDICGIVYLUX5BWZASD4A34Y5B6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JDICGIVYLUX5BWZASD4A34Y5B6","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b241718873a16e0085b24a5613bb889d58768f02890cf807bc55343e092eb427","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T17:43:13Z","title_canon_sha256":"b977122ae5e593cebccdb61d3247ec59d024adb31281aefcf8aa765bf109edeb"},"schema_version":"1.0","source":{"id":"1806.02323","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02323","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02323v1","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02323","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"pith_short_12","alias_value":"JDICGIVYLUX5","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JDICGIVYLUX5BWZA","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JDICGIVY","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:f9cf34a08f583af8cdb3ee168202a2cdda962bc6044182845dc97963a8f63e7d","target":"graph","created_at":"2026-05-18T00:14:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Online video object segmentation is a challenging task as it entails to process the image sequence timely and accurately. To segment a target object through the video, numerous CNN-based methods have been developed by heavily finetuning on the object mask in the first frame, which is time-consuming for online applications. In this paper, we propose a fast and accurate video object segmentation algorithm that can immediately start the segmentation process once receiving the images. We first utilize a part-based tracking method to deal with challenging factors such as large deformation, occlusio","authors_text":"Jingchun Cheng, Ming-Hsuan Yang, Shengjin Wang, Wei-Chih Hung, Yi-Hsuan Tsai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T17:43:13Z","title":"Fast and Accurate Online Video Object Segmentation via Tracking Parts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02323","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:17659a83fbb3b57dce8e185dfb8757aec814d737a0c4f332c360ffe1cd14ffd4","target":"record","created_at":"2026-05-18T00:14:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b241718873a16e0085b24a5613bb889d58768f02890cf807bc55343e092eb427","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-06T17:43:13Z","title_canon_sha256":"b977122ae5e593cebccdb61d3247ec59d024adb31281aefcf8aa765bf109edeb"},"schema_version":"1.0","source":{"id":"1806.02323","kind":"arxiv","version":1}},"canonical_sha256":"48d02322b85d2fd0db2090f80df31d0f8ecdecbfb65a8cda65dba72fb6a1430f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"48d02322b85d2fd0db2090f80df31d0f8ecdecbfb65a8cda65dba72fb6a1430f","first_computed_at":"2026-05-18T00:14:01.828817Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:01.828817Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8aXRSKvgO9DywBbHVdoLid3CSoQaFlbBCSXd8ZVC0HKbftmJ8zYkR56+N/y8+hfbx3mZ1OoAcJBaxpFKvToGAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:01.829522Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.02323","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17659a83fbb3b57dce8e185dfb8757aec814d737a0c4f332c360ffe1cd14ffd4","sha256:f9cf34a08f583af8cdb3ee168202a2cdda962bc6044182845dc97963a8f63e7d"],"state_sha256":"141d70fe90f5a14b829b47fe06b718afcda8c9e25c8f6ad6c1bb1fc416230687"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yOqshZQLUY114sW+KILxImh4qIxXRKQfVI1lhJmU0WA3EK4PPhhiAK1ZH99wZorXeWzUyA7Mb9hU1KK9d9TOBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T05:23:58.393280Z","bundle_sha256":"26d1de25b08fae6b8457d9f2b412eb74b0e83a1a12587cea2774415118bac306"}}