{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:DW226HJ2OAOLOZRDH2HKU6VF5Z","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":"169c2bcae875a141036159f055a3f3b6a488c02eef5390b80e598cd095dfa16d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-19T14:11:49Z","title_canon_sha256":"6e99c5d9d0b6d027e4c0170be91b33f048c1f4699f56be96bbb93a0eb4453efc"},"schema_version":"1.0","source":{"id":"1510.05484","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.05484","created_at":"2026-05-18T01:08:20Z"},{"alias_kind":"arxiv_version","alias_value":"1510.05484v2","created_at":"2026-05-18T01:08:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.05484","created_at":"2026-05-18T01:08:20Z"},{"alias_kind":"pith_short_12","alias_value":"DW226HJ2OAOL","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"DW226HJ2OAOLOZRD","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"DW226HJ2","created_at":"2026-05-18T12:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:cc4379ac33014f7b50f621d42319b86433a178ee683ae46de3272fb7ebfb9998","target":"graph","created_at":"2026-05-18T01:08:20Z","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":"A key problem in salient object detection is how to effectively model the semantic properties of salient objects in a data-driven manner. In this paper, we propose a multi-task deep saliency model based on a fully convolutional neural network (FCNN) with global input (whole raw images) and global output (whole saliency maps). In principle, the proposed saliency model takes a data-driven strategy for encoding the underlying saliency prior information, and then sets up a multi-task learning scheme for exploring the intrinsic correlations between saliency detection and semantic image segmentation","authors_text":"Fei Wu, Haibin Ling, Jingdong Wang, Liming Zhao, Lina Wei, Ming-Hsuan Yang, Xi Li, Yueting Zhuang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-19T14:11:49Z","title":"DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.05484","kind":"arxiv","version":2},"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":"sha256:9fe92281ed20be578301349b0ec75b71206646484609020723716b99c0b2098e","target":"record","created_at":"2026-05-18T01:08:20Z","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":"169c2bcae875a141036159f055a3f3b6a488c02eef5390b80e598cd095dfa16d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-19T14:11:49Z","title_canon_sha256":"6e99c5d9d0b6d027e4c0170be91b33f048c1f4699f56be96bbb93a0eb4453efc"},"schema_version":"1.0","source":{"id":"1510.05484","kind":"arxiv","version":2}},"canonical_sha256":"1db5af1d3a701cb766233e8eaa7aa5ee65839292518d3bacb47d3e2dd4e787a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1db5af1d3a701cb766233e8eaa7aa5ee65839292518d3bacb47d3e2dd4e787a3","first_computed_at":"2026-05-18T01:08:20.778510Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:08:20.778510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aCsH8TR6RDndCRBGQhdJ8dXbMkY7nTI/9LxrKFo80BUkHvaMCN+0pbIkU4hGJfxK0YBPVU2EKwTJci1kwCjYBw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:08:20.779120Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.05484","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9fe92281ed20be578301349b0ec75b71206646484609020723716b99c0b2098e","sha256:cc4379ac33014f7b50f621d42319b86433a178ee683ae46de3272fb7ebfb9998"],"state_sha256":"e8223af399f7cf194196488cff4cffd95013d42d5c5fdf32aa45a761fe385bb6"}