{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:5RL7M33UDMGGPNEKZ6JSOJYYFE","short_pith_number":"pith:5RL7M33U","canonical_record":{"source":{"id":"1809.06013","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T04:23:20Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e088ae6755473f07be9eade094d520d9faa0c4001b6afe4b3ff1f2a88461999f","abstract_canon_sha256":"950d31c1ca1eda0b23171690579ee32002a2a385fa0d109debea044700bd1dd4"},"schema_version":"1.0"},"canonical_sha256":"ec57f66f741b0c67b48acf93272718292f091d0d5b5eb72eaff55e61bc19cac5","source":{"kind":"arxiv","id":"1809.06013","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.06013","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"arxiv_version","alias_value":"1809.06013v2","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06013","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"pith_short_12","alias_value":"5RL7M33UDMGG","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"pith_short_16","alias_value":"5RL7M33UDMGGPNEK","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"pith_short_8","alias_value":"5RL7M33U","created_at":"2026-07-05T00:37:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:5RL7M33UDMGGPNEKZ6JSOJYYFE","target":"record","payload":{"canonical_record":{"source":{"id":"1809.06013","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T04:23:20Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e088ae6755473f07be9eade094d520d9faa0c4001b6afe4b3ff1f2a88461999f","abstract_canon_sha256":"950d31c1ca1eda0b23171690579ee32002a2a385fa0d109debea044700bd1dd4"},"schema_version":"1.0"},"canonical_sha256":"ec57f66f741b0c67b48acf93272718292f091d0d5b5eb72eaff55e61bc19cac5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:37:26.224565Z","signature_b64":"YUfBX7rltl2Ppz0fX7JLAuepayS+e9eTRRkMxKdMeg7J4GkVVKRI+2QetQADWAMXAm38rJD4OQ+f/fGEhBKuCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec57f66f741b0c67b48acf93272718292f091d0d5b5eb72eaff55e61bc19cac5","last_reissued_at":"2026-07-05T00:37:26.224158Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:37:26.224158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.06013","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:37:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UFmeHQp5WC2IG7nZkB4rK/aQmBg0XyDKKdpEg/bSbRvHCdGvVOVDvaCctPkBtG6UMRViF80ilqDEk+zDY+8sBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:13:47.153639Z"},"content_sha256":"ae37213d76facf40a7d6fb1612875d46c1a7789f0d86db24ad87b94d4c1802b9","schema_version":"1.0","event_id":"sha256:ae37213d76facf40a7d6fb1612875d46c1a7789f0d86db24ad87b94d4c1802b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:5RL7M33UDMGGPNEKZ6JSOJYYFE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Chuang Niu, Jimin Liang, Shenghan Ren","submitted_at":"2018-09-17T04:23:20Z","abstract_excerpt":"Pixel-level annotation demands expensive human efforts and limits the performance of deep networks that usually benefits from more such training data. In this work we aim to achieve high quality instance and semantic segmentation results over a small set of pixel-level mask annotations and a large set of box annotations. The basic idea is exploring detection models to simplify the pixel-level supervised learning task and thus reduce the required amount of mask annotations. Our architecture, named DASNet, consists of three modules: detection, attention, and segmentation. The detection module de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06013","kind":"arxiv","version":2},"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/1809.06013/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":"2026-07-05T00:37:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UgItstMuMzNZRNuf1sydZrFTE7Kri8i1SCnF4Zo158k31er8gsOoObMoeO7C311MrNokJK7hoiQDwl9SE2fMCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:13:47.154019Z"},"content_sha256":"b1d525d8cd793345ca53720497c4e21f6f0d97a784ddb13c98829b96f1abbe72","schema_version":"1.0","event_id":"sha256:b1d525d8cd793345ca53720497c4e21f6f0d97a784ddb13c98829b96f1abbe72"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5RL7M33UDMGGPNEKZ6JSOJYYFE/bundle.json","state_url":"https://pith.science/pith/5RL7M33UDMGGPNEKZ6JSOJYYFE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5RL7M33UDMGGPNEKZ6JSOJYYFE/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":"2026-07-06T16:13:47Z","links":{"resolver":"https://pith.science/pith/5RL7M33UDMGGPNEKZ6JSOJYYFE","bundle":"https://pith.science/pith/5RL7M33UDMGGPNEKZ6JSOJYYFE/bundle.json","state":"https://pith.science/pith/5RL7M33UDMGGPNEKZ6JSOJYYFE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5RL7M33UDMGGPNEKZ6JSOJYYFE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:5RL7M33UDMGGPNEKZ6JSOJYYFE","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":"950d31c1ca1eda0b23171690579ee32002a2a385fa0d109debea044700bd1dd4","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T04:23:20Z","title_canon_sha256":"e088ae6755473f07be9eade094d520d9faa0c4001b6afe4b3ff1f2a88461999f"},"schema_version":"1.0","source":{"id":"1809.06013","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.06013","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"arxiv_version","alias_value":"1809.06013v2","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06013","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"pith_short_12","alias_value":"5RL7M33UDMGG","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"pith_short_16","alias_value":"5RL7M33UDMGGPNEK","created_at":"2026-07-05T00:37:26Z"},{"alias_kind":"pith_short_8","alias_value":"5RL7M33U","created_at":"2026-07-05T00:37:26Z"}],"graph_snapshots":[{"event_id":"sha256:b1d525d8cd793345ca53720497c4e21f6f0d97a784ddb13c98829b96f1abbe72","target":"graph","created_at":"2026-07-05T00:37:26Z","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/1809.06013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pixel-level annotation demands expensive human efforts and limits the performance of deep networks that usually benefits from more such training data. In this work we aim to achieve high quality instance and semantic segmentation results over a small set of pixel-level mask annotations and a large set of box annotations. The basic idea is exploring detection models to simplify the pixel-level supervised learning task and thus reduce the required amount of mask annotations. Our architecture, named DASNet, consists of three modules: detection, attention, and segmentation. The detection module de","authors_text":"Chuang Niu, Jimin Liang, Shenghan Ren","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T04:23:20Z","title":"DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06013","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:ae37213d76facf40a7d6fb1612875d46c1a7789f0d86db24ad87b94d4c1802b9","target":"record","created_at":"2026-07-05T00:37:26Z","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":"950d31c1ca1eda0b23171690579ee32002a2a385fa0d109debea044700bd1dd4","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T04:23:20Z","title_canon_sha256":"e088ae6755473f07be9eade094d520d9faa0c4001b6afe4b3ff1f2a88461999f"},"schema_version":"1.0","source":{"id":"1809.06013","kind":"arxiv","version":2}},"canonical_sha256":"ec57f66f741b0c67b48acf93272718292f091d0d5b5eb72eaff55e61bc19cac5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec57f66f741b0c67b48acf93272718292f091d0d5b5eb72eaff55e61bc19cac5","first_computed_at":"2026-07-05T00:37:26.224158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:37:26.224158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YUfBX7rltl2Ppz0fX7JLAuepayS+e9eTRRkMxKdMeg7J4GkVVKRI+2QetQADWAMXAm38rJD4OQ+f/fGEhBKuCw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:37:26.224565Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.06013","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae37213d76facf40a7d6fb1612875d46c1a7789f0d86db24ad87b94d4c1802b9","sha256:b1d525d8cd793345ca53720497c4e21f6f0d97a784ddb13c98829b96f1abbe72"],"state_sha256":"00285b862273d9a6647f49bda0d421b9f9369b7786a5b258984be2aff48eb58b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jd9hEBlz7bFc591TuUlaxmF55qvgXulN/gggG6SgUgeIrxjHnQrhlb/2adNz1MGiIh+3QC7kXe/pNbjVNBttBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:13:47.156069Z","bundle_sha256":"6237d79c69d7aa4d1a03f94f36a140814db5074e7f0479b7167ce803b3db1da3"}}