{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:J33N37WDYQFCCRIPC2TB2APUQW","short_pith_number":"pith:J33N37WD","canonical_record":{"source":{"id":"1803.05858","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T16:51:57Z","cross_cats_sorted":[],"title_canon_sha256":"42aec4ae2a192e8554cc8311f19f1e7e2418fae3b3942aaf7f164603b550b6ba","abstract_canon_sha256":"1b6a829fd16f57b64485d59f0e8c8ca29277b2ccf5441e28d4415ce9d9b79958"},"schema_version":"1.0"},"canonical_sha256":"4ef6ddfec3c40a21450f16a61d01f485adb1a2aab892e129cb0ed91a1cd2da70","source":{"kind":"arxiv","id":"1803.05858","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.05858","created_at":"2026-05-18T00:20:13Z"},{"alias_kind":"arxiv_version","alias_value":"1803.05858v2","created_at":"2026-05-18T00:20:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.05858","created_at":"2026-05-18T00:20:13Z"},{"alias_kind":"pith_short_12","alias_value":"J33N37WDYQFC","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J33N37WDYQFCCRIP","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J33N37WD","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:J33N37WDYQFCCRIPC2TB2APUQW","target":"record","payload":{"canonical_record":{"source":{"id":"1803.05858","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T16:51:57Z","cross_cats_sorted":[],"title_canon_sha256":"42aec4ae2a192e8554cc8311f19f1e7e2418fae3b3942aaf7f164603b550b6ba","abstract_canon_sha256":"1b6a829fd16f57b64485d59f0e8c8ca29277b2ccf5441e28d4415ce9d9b79958"},"schema_version":"1.0"},"canonical_sha256":"4ef6ddfec3c40a21450f16a61d01f485adb1a2aab892e129cb0ed91a1cd2da70","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:13.396830Z","signature_b64":"TaBhDFKQPx4ycpnYKtTGJEsnFLO26HqXIEJ0kufuFL+FTRHFLD8ATvKNZgtv8lgEaOpB86zoM3z9ZZknsGXUDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ef6ddfec3c40a21450f16a61d01f485adb1a2aab892e129cb0ed91a1cd2da70","last_reissued_at":"2026-05-18T00:20:13.396294Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:13.396294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.05858","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":"2026-05-18T00:20:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m8Isc5kvoRYELM10ANV2vL4bkgAakOSy+BDDBn9Mn3QL25pkdzC27An+j/+FHbBBB8iUq1y3sCn2d7edrSzAAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:51:52.988762Z"},"content_sha256":"8827f6dc9822b33c4537464f847fb16539b3e98dce24b42253346ef27c9ebb9f","schema_version":"1.0","event_id":"sha256:8827f6dc9822b33c4537464f847fb16539b3e98dce24b42253346ef27c9ebb9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:J33N37WDYQFCCRIPC2TB2APUQW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pseudo Mask Augmented Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Shuang Liang, Xiangyun Zhao, Yichen Wei","submitted_at":"2018-03-15T16:51:57Z","abstract_excerpt":"In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation. Starting from the joint object detection and instance segmentation network, we propose to recursively estimate the pseudo ground-truth object masks from the instance-level object segmentation network training, and then enhance the detection network with top-down segmentation feedbacks. The pseudo ground truth mask and network parameters are optimized alternatively to mutually benefit each other. To obtain th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.05858","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":""},"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":"2026-05-18T00:20:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pYLUyyfU21FSIfR79ESoDPL9m4CliUDUTtIf1sCBybk/Q77L2wOeYReMSoFLdk39g9izJunv6ZpJJPkh7q2TCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:51:52.989422Z"},"content_sha256":"d67b2b3a71a7f856b4252c51965194759d18547d1688bf8727d8b0933799511e","schema_version":"1.0","event_id":"sha256:d67b2b3a71a7f856b4252c51965194759d18547d1688bf8727d8b0933799511e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J33N37WDYQFCCRIPC2TB2APUQW/bundle.json","state_url":"https://pith.science/pith/J33N37WDYQFCCRIPC2TB2APUQW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J33N37WDYQFCCRIPC2TB2APUQW/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":"2026-06-09T06:51:52Z","links":{"resolver":"https://pith.science/pith/J33N37WDYQFCCRIPC2TB2APUQW","bundle":"https://pith.science/pith/J33N37WDYQFCCRIPC2TB2APUQW/bundle.json","state":"https://pith.science/pith/J33N37WDYQFCCRIPC2TB2APUQW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J33N37WDYQFCCRIPC2TB2APUQW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:J33N37WDYQFCCRIPC2TB2APUQW","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":"1b6a829fd16f57b64485d59f0e8c8ca29277b2ccf5441e28d4415ce9d9b79958","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T16:51:57Z","title_canon_sha256":"42aec4ae2a192e8554cc8311f19f1e7e2418fae3b3942aaf7f164603b550b6ba"},"schema_version":"1.0","source":{"id":"1803.05858","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.05858","created_at":"2026-05-18T00:20:13Z"},{"alias_kind":"arxiv_version","alias_value":"1803.05858v2","created_at":"2026-05-18T00:20:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.05858","created_at":"2026-05-18T00:20:13Z"},{"alias_kind":"pith_short_12","alias_value":"J33N37WDYQFC","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J33N37WDYQFCCRIP","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J33N37WD","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:d67b2b3a71a7f856b4252c51965194759d18547d1688bf8727d8b0933799511e","target":"graph","created_at":"2026-05-18T00:20:13Z","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":"In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation. Starting from the joint object detection and instance segmentation network, we propose to recursively estimate the pseudo ground-truth object masks from the instance-level object segmentation network training, and then enhance the detection network with top-down segmentation feedbacks. The pseudo ground truth mask and network parameters are optimized alternatively to mutually benefit each other. To obtain th","authors_text":"Shuang Liang, Xiangyun Zhao, Yichen Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T16:51:57Z","title":"Pseudo Mask Augmented Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.05858","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":"sha256:8827f6dc9822b33c4537464f847fb16539b3e98dce24b42253346ef27c9ebb9f","target":"record","created_at":"2026-05-18T00:20:13Z","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":"1b6a829fd16f57b64485d59f0e8c8ca29277b2ccf5441e28d4415ce9d9b79958","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T16:51:57Z","title_canon_sha256":"42aec4ae2a192e8554cc8311f19f1e7e2418fae3b3942aaf7f164603b550b6ba"},"schema_version":"1.0","source":{"id":"1803.05858","kind":"arxiv","version":2}},"canonical_sha256":"4ef6ddfec3c40a21450f16a61d01f485adb1a2aab892e129cb0ed91a1cd2da70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ef6ddfec3c40a21450f16a61d01f485adb1a2aab892e129cb0ed91a1cd2da70","first_computed_at":"2026-05-18T00:20:13.396294Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:13.396294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TaBhDFKQPx4ycpnYKtTGJEsnFLO26HqXIEJ0kufuFL+FTRHFLD8ATvKNZgtv8lgEaOpB86zoM3z9ZZknsGXUDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:13.396830Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.05858","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8827f6dc9822b33c4537464f847fb16539b3e98dce24b42253346ef27c9ebb9f","sha256:d67b2b3a71a7f856b4252c51965194759d18547d1688bf8727d8b0933799511e"],"state_sha256":"65b126ec82577cdff9b4a55e52366effe4e290b0e6177160d474e16b167c7ef2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ae36fOtLUl14D6O6wn9slIm0JA9y+58Mrbu30bZBiMond4nIRL6d//sxu+LdnW/lP6P1hNVbnECihfo/gVlaCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T06:51:52.993413Z","bundle_sha256":"2cbb8a21dcff87a65737458f79d0b9f84f4b8e3c43a4f400fc82eec298b2a018"}}