{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JV34DDKFP32XKSTDOAS7TEAPN6","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":"822b1023fd71e29b534bda05393312019fb4773e7a4f8691a67343ca93194eaa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T06:25:54Z","title_canon_sha256":"3a514b4524a9d78ac22ec3f99b9433dd064f4524ff69e1990bded39d4a39d519"},"schema_version":"1.0","source":{"id":"1702.02719","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.02719","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"arxiv_version","alias_value":"1702.02719v1","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.02719","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"pith_short_12","alias_value":"JV34DDKFP32X","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JV34DDKFP32XKSTD","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JV34DDKF","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:4f74e5bf871ef7ae37db6b3c11e1591acecf75833abd8a86c88c433513aba3dd","target":"graph","created_at":"2026-05-18T00:51:02Z","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 paper, we propose a novel face alignment method using single deep network (SDN) on existing limited training data. Rather than using a max-pooling layer followed one convolutional layer in typical convolutional neural networks (CNN), SDN adopts a stack of 3 layer groups instead. Each group layer contains two convolutional layers and a max-pooling layer, which can extract the features hierarchically. Moreover, an effective data augmentation strategy and corresponding training skills are also proposed to over-come the lack of training images on COFW and 300-W da-tasets. The experiment re","authors_text":"Hu Chen, Ke Li, Qijun Zhao, Yi Zhang, Zongping Deng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T06:25:54Z","title":"Effective face landmark localization via single deep network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.02719","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":"sha256:787f41eac05365803332d85b531e2a9cc83b059cc32553999d43a83b710db0e3","target":"record","created_at":"2026-05-18T00:51:02Z","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":"822b1023fd71e29b534bda05393312019fb4773e7a4f8691a67343ca93194eaa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T06:25:54Z","title_canon_sha256":"3a514b4524a9d78ac22ec3f99b9433dd064f4524ff69e1990bded39d4a39d519"},"schema_version":"1.0","source":{"id":"1702.02719","kind":"arxiv","version":1}},"canonical_sha256":"4d77c18d457ef5754a637025f9900f6f922d908de565f6854f7c3705e0ee729e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d77c18d457ef5754a637025f9900f6f922d908de565f6854f7c3705e0ee729e","first_computed_at":"2026-05-18T00:51:02.651901Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:51:02.651901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/u+NXF6ToWMA2WwV4EQ+J/8cUK16a0gT/EVXbvE4jpVHYGZb69V7omoc6OIGnvrOPC0zsC81i0QAkAGewc69BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:51:02.652422Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.02719","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:787f41eac05365803332d85b531e2a9cc83b059cc32553999d43a83b710db0e3","sha256:4f74e5bf871ef7ae37db6b3c11e1591acecf75833abd8a86c88c433513aba3dd"],"state_sha256":"dbc260836eb83d18e2469d0293be4310f075c86063eae8908b42d6123b1ff543"}