{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FRJWYT624IXNDW6F7OUGGBWYUJ","short_pith_number":"pith:FRJWYT62","canonical_record":{"source":{"id":"2310.09533","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-14T08:43:22Z","cross_cats_sorted":[],"title_canon_sha256":"dbe8b11fe86df81a68caca41de1733f891de3900a7052c049b36744b1ed874cb","abstract_canon_sha256":"f09001b87a0cafb348f941fdbffb5a32855b656d89b34cd329bb9e156962ab8f"},"schema_version":"1.0"},"canonical_sha256":"2c536c4fdae22ed1dbc5fba86306d8a2659b4582544168309c995c53f52c6405","source":{"kind":"arxiv","id":"2310.09533","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.09533","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"arxiv_version","alias_value":"2310.09533v1","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09533","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"pith_short_12","alias_value":"FRJWYT624IXN","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"pith_short_16","alias_value":"FRJWYT624IXNDW6F","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"pith_short_8","alias_value":"FRJWYT62","created_at":"2026-07-05T07:01:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FRJWYT624IXNDW6F7OUGGBWYUJ","target":"record","payload":{"canonical_record":{"source":{"id":"2310.09533","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-14T08:43:22Z","cross_cats_sorted":[],"title_canon_sha256":"dbe8b11fe86df81a68caca41de1733f891de3900a7052c049b36744b1ed874cb","abstract_canon_sha256":"f09001b87a0cafb348f941fdbffb5a32855b656d89b34cd329bb9e156962ab8f"},"schema_version":"1.0"},"canonical_sha256":"2c536c4fdae22ed1dbc5fba86306d8a2659b4582544168309c995c53f52c6405","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:01:07.475976Z","signature_b64":"p64Jz9iqxECLN09RVDn1+U8cKyBSJo0K16zkYu2KiEkVtd5Hoc9g47dq9VRBHI98AhbClqH1rZOmbW6VX0pDDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c536c4fdae22ed1dbc5fba86306d8a2659b4582544168309c995c53f52c6405","last_reissued_at":"2026-07-05T07:01:07.475513Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:01:07.475513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.09533","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":"2026-07-05T07:01:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0GFvtyXc39bFlkV9mRxve2ACkik9yHxIwbetS9+FIzjrPFRsYXE+na3wnLT69AZnJnYaidpcDMV/c178jzWNAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:20:00.029224Z"},"content_sha256":"eebd21aa9db8f7cf47639a0800ee951fd3c61940927c81718918f2daa03fe1ca","schema_version":"1.0","event_id":"sha256:eebd21aa9db8f7cf47639a0800ee951fd3c61940927c81718918f2daa03fe1ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FRJWYT624IXNDW6F7OUGGBWYUJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haozhe Xing, Shuyong Gao, Wenqiang Zhang, Yan Wang, Yicheng Song, Yiting Cheng","submitted_at":"2023-10-14T08:43:22Z","abstract_excerpt":"Unsupervised salient object detection aims to detect salient objects without using supervision signals eliminating the tedious task of manually labeling salient objects. To improve training efficiency, end-to-end methods for USOD have been proposed as a promising alternative. However, current solutions rely heavily on noisy handcraft labels and fail to mine rich semantic information from deep features. In this paper, we propose a self-supervised end-to-end salient object detection framework via top-down context. Specifically, motivated by contrastive learning, we exploit the self-localization "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09533","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.09533/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T07:01:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WwtvChAP8K7asYZFMkfnXIMoaEA674nEgetZra/nbFRHQtkRyCY12VfbZzZNmBSiJMdXqnuTYgv32zhBhY6cDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:20:00.029763Z"},"content_sha256":"6ebb8d014b6afeff057f9d082c66826eb735e899a253536ef45a28d2e6026fa0","schema_version":"1.0","event_id":"sha256:6ebb8d014b6afeff057f9d082c66826eb735e899a253536ef45a28d2e6026fa0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FRJWYT624IXNDW6F7OUGGBWYUJ/bundle.json","state_url":"https://pith.science/pith/FRJWYT624IXNDW6F7OUGGBWYUJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FRJWYT624IXNDW6F7OUGGBWYUJ/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":"2026-08-10T20:20:00Z","links":{"resolver":"https://pith.science/pith/FRJWYT624IXNDW6F7OUGGBWYUJ","bundle":"https://pith.science/pith/FRJWYT624IXNDW6F7OUGGBWYUJ/bundle.json","state":"https://pith.science/pith/FRJWYT624IXNDW6F7OUGGBWYUJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FRJWYT624IXNDW6F7OUGGBWYUJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FRJWYT624IXNDW6F7OUGGBWYUJ","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":"f09001b87a0cafb348f941fdbffb5a32855b656d89b34cd329bb9e156962ab8f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-14T08:43:22Z","title_canon_sha256":"dbe8b11fe86df81a68caca41de1733f891de3900a7052c049b36744b1ed874cb"},"schema_version":"1.0","source":{"id":"2310.09533","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.09533","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"arxiv_version","alias_value":"2310.09533v1","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09533","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"pith_short_12","alias_value":"FRJWYT624IXN","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"pith_short_16","alias_value":"FRJWYT624IXNDW6F","created_at":"2026-07-05T07:01:07Z"},{"alias_kind":"pith_short_8","alias_value":"FRJWYT62","created_at":"2026-07-05T07:01:07Z"}],"graph_snapshots":[{"event_id":"sha256:6ebb8d014b6afeff057f9d082c66826eb735e899a253536ef45a28d2e6026fa0","target":"graph","created_at":"2026-07-05T07:01:07Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2310.09533/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised salient object detection aims to detect salient objects without using supervision signals eliminating the tedious task of manually labeling salient objects. To improve training efficiency, end-to-end methods for USOD have been proposed as a promising alternative. However, current solutions rely heavily on noisy handcraft labels and fail to mine rich semantic information from deep features. In this paper, we propose a self-supervised end-to-end salient object detection framework via top-down context. Specifically, motivated by contrastive learning, we exploit the self-localization ","authors_text":"Haozhe Xing, Shuyong Gao, Wenqiang Zhang, Yan Wang, Yicheng Song, Yiting Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-14T08:43:22Z","title":"Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09533","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:eebd21aa9db8f7cf47639a0800ee951fd3c61940927c81718918f2daa03fe1ca","target":"record","created_at":"2026-07-05T07:01:07Z","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":"f09001b87a0cafb348f941fdbffb5a32855b656d89b34cd329bb9e156962ab8f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-14T08:43:22Z","title_canon_sha256":"dbe8b11fe86df81a68caca41de1733f891de3900a7052c049b36744b1ed874cb"},"schema_version":"1.0","source":{"id":"2310.09533","kind":"arxiv","version":1}},"canonical_sha256":"2c536c4fdae22ed1dbc5fba86306d8a2659b4582544168309c995c53f52c6405","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c536c4fdae22ed1dbc5fba86306d8a2659b4582544168309c995c53f52c6405","first_computed_at":"2026-07-05T07:01:07.475513Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:07.475513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p64Jz9iqxECLN09RVDn1+U8cKyBSJo0K16zkYu2KiEkVtd5Hoc9g47dq9VRBHI98AhbClqH1rZOmbW6VX0pDDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:07.475976Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.09533","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eebd21aa9db8f7cf47639a0800ee951fd3c61940927c81718918f2daa03fe1ca","sha256:6ebb8d014b6afeff057f9d082c66826eb735e899a253536ef45a28d2e6026fa0"],"state_sha256":"68e1f3ea34f10c6838af1da94c326ec044afc1870b320e35587e0019ec3f8e1d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rsYU1UyjvHsitaI3FSPz+S7wGJyrua8lnWeWEJQfBadcDJyg3fpT2wd/8JQArEBeAIyqtWZRKo7A0lsj9vE/Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:20:00.034521Z","bundle_sha256":"e439a0a33f5eaa6c8e0675f2afc234b5def5e24fe401783b70416c1b469d4f17"}}