{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:FRLS5PM232G4TUE5HIT7GUIBPU","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":"fabb2f69701effd658270031720d821642ccb0e33dd384034b1215f9d695159d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-30T23:49:23Z","title_canon_sha256":"a67add010de1a1ef696bed678cea90c3b3b0df32ed91f804762ba48abe901b76"},"schema_version":"1.0","source":{"id":"1703.10714","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.10714","created_at":"2026-05-18T00:47:32Z"},{"alias_kind":"arxiv_version","alias_value":"1703.10714v1","created_at":"2026-05-18T00:47:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.10714","created_at":"2026-05-18T00:47:32Z"},{"alias_kind":"pith_short_12","alias_value":"FRLS5PM232G4","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FRLS5PM232G4TUE5","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FRLS5PM2","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:f5beb10279bd04fe9c2a606e571c077c1a189502186a3a1b8152320f4ddc934b","target":"graph","created_at":"2026-05-18T00:47:32Z","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":"We propose a novel 3D face recognition algorithm using a deep convolutional neural network (DCNN) and a 3D augmentation technique. The performance of 2D face recognition algorithms has significantly increased by leveraging the representational power of deep neural networks and the use of large-scale labeled training data. As opposed to 2D face recognition, training discriminative deep features for 3D face recognition is very difficult due to the lack of large-scale 3D face datasets. In this paper, we show that transfer learning from a CNN trained on 2D face images can effectively work for 3D f","authors_text":"Donghyun Kim, Gerard Medioni, Jongmoo Choi, Matthias Hernandez","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-30T23:49:23Z","title":"Deep 3D Face Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.10714","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":"sha256:8bb86b0ccb5c752b0d28296116a4f6f249a8229ba44b5187dd610b8439fe872b","target":"record","created_at":"2026-05-18T00:47:32Z","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":"fabb2f69701effd658270031720d821642ccb0e33dd384034b1215f9d695159d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-30T23:49:23Z","title_canon_sha256":"a67add010de1a1ef696bed678cea90c3b3b0df32ed91f804762ba48abe901b76"},"schema_version":"1.0","source":{"id":"1703.10714","kind":"arxiv","version":1}},"canonical_sha256":"2c572ebd9ade8dc9d09d3a27f351017d1cbf2d6e3423510ee1a90c9d94575f42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c572ebd9ade8dc9d09d3a27f351017d1cbf2d6e3423510ee1a90c9d94575f42","first_computed_at":"2026-05-18T00:47:32.838841Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:32.838841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yiVqkhUX66Wkwn/mE7rHNekxLe9Tsr7Y9vcwBYdvAeg/K2+FG2YZzhtp38hHjGTmA7bHKUwmJ/Hz4SdauHogAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:32.839556Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.10714","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8bb86b0ccb5c752b0d28296116a4f6f249a8229ba44b5187dd610b8439fe872b","sha256:f5beb10279bd04fe9c2a606e571c077c1a189502186a3a1b8152320f4ddc934b"],"state_sha256":"f3d2a3000085468cab18d69a785def7290b5430102408ed4337d04a54bd4af49"}