{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:Q5HLCTUUWHEYRSDCNHPXYL5SPT","short_pith_number":"pith:Q5HLCTUU","schema_version":"1.0","canonical_sha256":"874eb14e94b1c988c86269df7c2fb27cf7116e5b5c0cfd63c040835893e9049e","source":{"kind":"arxiv","id":"1708.05595","version":1},"attestation_state":"computed","paper":{"title":"Self-explanatory Deep Salient Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huaxin Xiao, Jiashi Feng, Maojun Zhang, Yunchao Wei","submitted_at":"2017-08-18T13:19:01Z","abstract_excerpt":"Salient object detection has seen remarkable progress driven by deep learning techniques. However, most of deep learning based salient object detection methods are black-box in nature and lacking in interpretability. This paper proposes the first self-explanatory saliency detection network that explicitly exploits low- and high-level features for salient object detection. We demonstrate that such supportive clues not only significantly enhances performance of salient object detection but also gives better justified detection results. More specifically, we develop a multi-stage saliency encoder"},"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":"1708.05595","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-18T13:19:01Z","cross_cats_sorted":[],"title_canon_sha256":"893ac4120f503d123207a502cb849799810864449f95927975ed174d6c696a4d","abstract_canon_sha256":"f53e05cc0dfb95bf97505948732c9535cb561f77dd9a64f16f844d52df122b9e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:37:49.558395Z","signature_b64":"9eJfFySO3x/pQDiqsYn+EEUJRqinl3oSVw2Gl3ma6RHCy0gNBpvN6rj8KunZg+SGM8pHPYODGU+4N4qLcI74Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"874eb14e94b1c988c86269df7c2fb27cf7116e5b5c0cfd63c040835893e9049e","last_reissued_at":"2026-05-18T00:37:49.557749Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:37:49.557749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Self-explanatory Deep Salient Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huaxin Xiao, Jiashi Feng, Maojun Zhang, Yunchao Wei","submitted_at":"2017-08-18T13:19:01Z","abstract_excerpt":"Salient object detection has seen remarkable progress driven by deep learning techniques. However, most of deep learning based salient object detection methods are black-box in nature and lacking in interpretability. This paper proposes the first self-explanatory saliency detection network that explicitly exploits low- and high-level features for salient object detection. We demonstrate that such supportive clues not only significantly enhances performance of salient object detection but also gives better justified detection results. More specifically, we develop a multi-stage saliency encoder"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.05595","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1708.05595","created_at":"2026-05-18T00:37:49.557908+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.05595v1","created_at":"2026-05-18T00:37:49.557908+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.05595","created_at":"2026-05-18T00:37:49.557908+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q5HLCTUUWHEY","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q5HLCTUUWHEYRSDC","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q5HLCTUU","created_at":"2026-05-18T12:31:37.085036+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/Q5HLCTUUWHEYRSDCNHPXYL5SPT","json":"https://pith.science/pith/Q5HLCTUUWHEYRSDCNHPXYL5SPT.json","graph_json":"https://pith.science/api/pith-number/Q5HLCTUUWHEYRSDCNHPXYL5SPT/graph.json","events_json":"https://pith.science/api/pith-number/Q5HLCTUUWHEYRSDCNHPXYL5SPT/events.json","paper":"https://pith.science/paper/Q5HLCTUU"},"agent_actions":{"view_html":"https://pith.science/pith/Q5HLCTUUWHEYRSDCNHPXYL5SPT","download_json":"https://pith.science/pith/Q5HLCTUUWHEYRSDCNHPXYL5SPT.json","view_paper":"https://pith.science/paper/Q5HLCTUU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.05595&json=true","fetch_graph":"https://pith.science/api/pith-number/Q5HLCTUUWHEYRSDCNHPXYL5SPT/graph.json","fetch_events":"https://pith.science/api/pith-number/Q5HLCTUUWHEYRSDCNHPXYL5SPT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q5HLCTUUWHEYRSDCNHPXYL5SPT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q5HLCTUUWHEYRSDCNHPXYL5SPT/action/storage_attestation","attest_author":"https://pith.science/pith/Q5HLCTUUWHEYRSDCNHPXYL5SPT/action/author_attestation","sign_citation":"https://pith.science/pith/Q5HLCTUUWHEYRSDCNHPXYL5SPT/action/citation_signature","submit_replication":"https://pith.science/pith/Q5HLCTUUWHEYRSDCNHPXYL5SPT/action/replication_record"}},"created_at":"2026-05-18T00:37:49.557908+00:00","updated_at":"2026-05-18T00:37:49.557908+00:00"}