{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:T3RY3IX5UWCZ67E7RZMYLR35MR","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":"28c84a1c63cfcd68700487d6cad09168c1a9bcdb88873e65acffe196932bf579","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-29T03:05:28Z","title_canon_sha256":"66b29194b3539c485ac715ed2b21ddd24c6e8f0e153bcd41474164dad74818e8"},"schema_version":"1.0","source":{"id":"1803.10910","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.10910","created_at":"2026-05-18T00:19:49Z"},{"alias_kind":"arxiv_version","alias_value":"1803.10910v1","created_at":"2026-05-18T00:19:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.10910","created_at":"2026-05-18T00:19:49Z"},{"alias_kind":"pith_short_12","alias_value":"T3RY3IX5UWCZ","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"T3RY3IX5UWCZ67E7","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"T3RY3IX5","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:600575336170de6a0fd13d011d0243a92f7b8241f2b270718d8408c981906a2d","target":"graph","created_at":"2026-05-18T00:19:49Z","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":"The success of current deep saliency detection methods heavily depends on the availability of large-scale supervision in the form of per-pixel labeling. Such supervision, while labor-intensive and not always possible, tends to hinder the generalization ability of the learned models. By contrast, traditional handcrafted features based unsupervised saliency detection methods, even though have been surpassed by the deep supervised methods, are generally dataset-independent and could be applied in the wild. This raises a natural question that \"Is it possible to learn saliency maps without using la","authors_text":"Jing Zhang, Mehrtash Harandi, Richard Hartley, Tong Zhang, Yuchao Dai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-29T03:05:28Z","title":"Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.10910","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":"sha256:4f31088d7a0c08c3b4548d1937c8ca6685a844eea68f42ffba9422f00ac0a6f1","target":"record","created_at":"2026-05-18T00:19:49Z","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":"28c84a1c63cfcd68700487d6cad09168c1a9bcdb88873e65acffe196932bf579","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-29T03:05:28Z","title_canon_sha256":"66b29194b3539c485ac715ed2b21ddd24c6e8f0e153bcd41474164dad74818e8"},"schema_version":"1.0","source":{"id":"1803.10910","kind":"arxiv","version":1}},"canonical_sha256":"9ee38da2fda5859f7c9f8e5985c77d645dfbc612fb7787965286ccfb03f5a054","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ee38da2fda5859f7c9f8e5985c77d645dfbc612fb7787965286ccfb03f5a054","first_computed_at":"2026-05-18T00:19:49.817927Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:49.817927Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c6xryDzcImdj56VDF3y6C7klmGZrU9i2kS+tBRmvOI8lrQ/cJwfK//Mw2vd3PwBCteZPPFjsJeDMcFmriiqVBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:49.818668Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.10910","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f31088d7a0c08c3b4548d1937c8ca6685a844eea68f42ffba9422f00ac0a6f1","sha256:600575336170de6a0fd13d011d0243a92f7b8241f2b270718d8408c981906a2d"],"state_sha256":"f6dbb390868b97ed14c8111e5d243983a60484345e0ee14ab75cb6d3b128ec2d"}