{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:VMKCP3GFV66CTYSEDMESGGHMXX","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":"44ddacbab36e4d1bb15b92ab0ea832644d33e370dde7797f1267f923e80c7152","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-17T05:04:23Z","title_canon_sha256":"54b1e1c57cde410a2648670e1df98d10e942b0faca1d17197a3aeab652e449cd"},"schema_version":"1.0","source":{"id":"1708.05137","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.05137","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"1708.05137v1","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.05137","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"VMKCP3GFV66C","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"VMKCP3GFV66CTYSE","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"VMKCP3GF","created_at":"2026-05-18T12:31:49Z"}],"graph_snapshots":[{"event_id":"sha256:94ce49efb08188188f86b53de49ac48c94b97a12d272f841f7ba64e61a8ba625","target":"graph","created_at":"2026-05-18T00:37:53Z","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":"We propose a novel video object segmentation algorithm based on pixel-level matching using Convolutional Neural Networks (CNN). Our network aims to distinguish the target area from the background on the basis of the pixel-level similarity between two object units. The proposed network represents a target object using features from different depth layers in order to take advantage of both the spatial details and the category-level semantic information. Furthermore, we propose a feature compression technique that drastically reduces the memory requirements while maintaining the capability of fea","authors_text":"Francois Rameau, In So Kweon, Jae Shin Yoon, Junsik Kim, Seokju Lee, Seunghak Shin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-17T05:04:23Z","title":"Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.05137","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":"sha256:4edaaff83a0eed46c0721551147e766d8faa133e49270fc16aef49dfed6469c5","target":"record","created_at":"2026-05-18T00:37:53Z","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":"44ddacbab36e4d1bb15b92ab0ea832644d33e370dde7797f1267f923e80c7152","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-17T05:04:23Z","title_canon_sha256":"54b1e1c57cde410a2648670e1df98d10e942b0faca1d17197a3aeab652e449cd"},"schema_version":"1.0","source":{"id":"1708.05137","kind":"arxiv","version":1}},"canonical_sha256":"ab1427ecc5afbc29e2441b092318ecbdff843116ed3147b38d6c448dce44459e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ab1427ecc5afbc29e2441b092318ecbdff843116ed3147b38d6c448dce44459e","first_computed_at":"2026-05-18T00:37:53.747732Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:37:53.747732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Nyn4UvKrN7V+VB6EzQwO16zi0CSGhdF5NCsJSuOIuwkgTseIgdZDluHI+33rH3zRCbtwV7rWrIdDs9R7/FxBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:37:53.748206Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.05137","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4edaaff83a0eed46c0721551147e766d8faa133e49270fc16aef49dfed6469c5","sha256:94ce49efb08188188f86b53de49ac48c94b97a12d272f841f7ba64e61a8ba625"],"state_sha256":"ba7ac1af39822425c68a930e23b3926d36138cad7292fcf24c1ca8ac9a6a061e"}