{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:5C3NQE65GWOIEGDGRF6UUKDUTK","short_pith_number":"pith:5C3NQE65","canonical_record":{"source":{"id":"1811.08557","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T07:31:03Z","cross_cats_sorted":[],"title_canon_sha256":"95e322de7536464d76f93ff65c48f32c0b7f365c4370020ffecfcf1c5cba7bcc","abstract_canon_sha256":"eba7ebe5b59895e728d874ef8f3ee80ba9f34142bb190788790df80d18506fec"},"schema_version":"1.0"},"canonical_sha256":"e8b6d813dd359c821866897d4a28749aba863c7b2aab181da56f9e37a2457de1","source":{"kind":"arxiv","id":"1811.08557","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.08557","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"arxiv_version","alias_value":"1811.08557v3","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08557","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"pith_short_12","alias_value":"5C3NQE65GWOI","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5C3NQE65GWOIEGDG","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5C3NQE65","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:5C3NQE65GWOIEGDGRF6UUKDUTK","target":"record","payload":{"canonical_record":{"source":{"id":"1811.08557","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T07:31:03Z","cross_cats_sorted":[],"title_canon_sha256":"95e322de7536464d76f93ff65c48f32c0b7f365c4370020ffecfcf1c5cba7bcc","abstract_canon_sha256":"eba7ebe5b59895e728d874ef8f3ee80ba9f34142bb190788790df80d18506fec"},"schema_version":"1.0"},"canonical_sha256":"e8b6d813dd359c821866897d4a28749aba863c7b2aab181da56f9e37a2457de1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:48.571243Z","signature_b64":"uyLx6H7ex/5knm7gtma9FWX3F4Qn0tx8MQuUxuppXGUdHsTQqhcsEOA84EW6rDoF5jNlhiEJ/sZjKRxgPtMJBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8b6d813dd359c821866897d4a28749aba863c7b2aab181da56f9e37a2457de1","last_reissued_at":"2026-05-17T23:47:48.570684Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:48.570684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.08557","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:47:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2Sm3LBshSXZ7L5CdM9ss9LCZmYpGtU0yRFWQXhUcKKyYPzb7aNwoOmKko1ZCtsXJ7BlNj5KoedBpyAj6qKxwDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T04:44:47.728677Z"},"content_sha256":"b3caea2639c22ff4ce528ee1fd82d4799eafe4889421f4a3fe36a9f471a86dce","schema_version":"1.0","event_id":"sha256:b3caea2639c22ff4ce528ee1fd82d4799eafe4889421f4a3fe36a9f471a86dce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:5C3NQE65GWOIEGDGRF6UUKDUTK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Binghui Chen, Haifeng Shen, Wanxin Tian, Weihong Deng, Xiehe Huang, Xiubao Zhang, Yiping Meng, Yuan Zhao, Zixuan Wang","submitted_at":"2018-11-20T07:31:03Z","abstract_excerpt":"The performance of face detectors has been largely improved with the development of convolutional neural network. However, it remains challenging for face detectors to detect tiny, occluded or blurry faces. Besides, most face detectors can't locate face's position precisely and can't achieve high Intersection-over-Union (IoU) scores. We assume that problems inside are inadequate use of supervision information and imbalance between semantics and details at all level feature maps in CNN even with Feature Pyramid Networks (FPN). In this paper, we present a novel single-shot face detection network"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08557","kind":"arxiv","version":3},"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":"2026-05-17T23:47:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5O/ycLUrArovO6pI5xgY3lzXvqnBvH+ibyx0AMwDC3ONPqACQdlibF+Hz6HsHg6v/h8w8FhFpjURVZJqxR37CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T04:44:47.729028Z"},"content_sha256":"986971e526376970e01966f4f49ee6571917e73cd7cf9aa5c0f613fa0379cac1","schema_version":"1.0","event_id":"sha256:986971e526376970e01966f4f49ee6571917e73cd7cf9aa5c0f613fa0379cac1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5C3NQE65GWOIEGDGRF6UUKDUTK/bundle.json","state_url":"https://pith.science/pith/5C3NQE65GWOIEGDGRF6UUKDUTK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5C3NQE65GWOIEGDGRF6UUKDUTK/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":"2026-06-02T04:44:47Z","links":{"resolver":"https://pith.science/pith/5C3NQE65GWOIEGDGRF6UUKDUTK","bundle":"https://pith.science/pith/5C3NQE65GWOIEGDGRF6UUKDUTK/bundle.json","state":"https://pith.science/pith/5C3NQE65GWOIEGDGRF6UUKDUTK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5C3NQE65GWOIEGDGRF6UUKDUTK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:5C3NQE65GWOIEGDGRF6UUKDUTK","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":"eba7ebe5b59895e728d874ef8f3ee80ba9f34142bb190788790df80d18506fec","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T07:31:03Z","title_canon_sha256":"95e322de7536464d76f93ff65c48f32c0b7f365c4370020ffecfcf1c5cba7bcc"},"schema_version":"1.0","source":{"id":"1811.08557","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.08557","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"arxiv_version","alias_value":"1811.08557v3","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08557","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"pith_short_12","alias_value":"5C3NQE65GWOI","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5C3NQE65GWOIEGDG","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5C3NQE65","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:986971e526376970e01966f4f49ee6571917e73cd7cf9aa5c0f613fa0379cac1","target":"graph","created_at":"2026-05-17T23:47:48Z","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":"The performance of face detectors has been largely improved with the development of convolutional neural network. However, it remains challenging for face detectors to detect tiny, occluded or blurry faces. Besides, most face detectors can't locate face's position precisely and can't achieve high Intersection-over-Union (IoU) scores. We assume that problems inside are inadequate use of supervision information and imbalance between semantics and details at all level feature maps in CNN even with Feature Pyramid Networks (FPN). In this paper, we present a novel single-shot face detection network","authors_text":"Binghui Chen, Haifeng Shen, Wanxin Tian, Weihong Deng, Xiehe Huang, Xiubao Zhang, Yiping Meng, Yuan Zhao, Zixuan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T07:31:03Z","title":"Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08557","kind":"arxiv","version":3},"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:b3caea2639c22ff4ce528ee1fd82d4799eafe4889421f4a3fe36a9f471a86dce","target":"record","created_at":"2026-05-17T23:47:48Z","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":"eba7ebe5b59895e728d874ef8f3ee80ba9f34142bb190788790df80d18506fec","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-20T07:31:03Z","title_canon_sha256":"95e322de7536464d76f93ff65c48f32c0b7f365c4370020ffecfcf1c5cba7bcc"},"schema_version":"1.0","source":{"id":"1811.08557","kind":"arxiv","version":3}},"canonical_sha256":"e8b6d813dd359c821866897d4a28749aba863c7b2aab181da56f9e37a2457de1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e8b6d813dd359c821866897d4a28749aba863c7b2aab181da56f9e37a2457de1","first_computed_at":"2026-05-17T23:47:48.570684Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:48.570684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uyLx6H7ex/5knm7gtma9FWX3F4Qn0tx8MQuUxuppXGUdHsTQqhcsEOA84EW6rDoF5jNlhiEJ/sZjKRxgPtMJBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:48.571243Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.08557","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3caea2639c22ff4ce528ee1fd82d4799eafe4889421f4a3fe36a9f471a86dce","sha256:986971e526376970e01966f4f49ee6571917e73cd7cf9aa5c0f613fa0379cac1"],"state_sha256":"72d4d46ef9f034a51fb3c43968171a364ab026b26790d456f38b81d843364039"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KO7fBVNbxu/cCRSrPOEc6/MP+g7NJ87jm4MEW1/Fty5RiouBf2skmqo4rdpiOTmQPd9wDvAizLkAiCOVc1NRBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T04:44:47.731022Z","bundle_sha256":"5c71de6fbd0ace54ad28f18f3d1843a242e35b6a985c084b5dccf6bdbc67afbf"}}