{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:5UN4IAJDOR5OOEH2VZP56FZSGA","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":"97876dea5e1360c50bca0535344469f6793f734d525ce7544f6239aee4213ef6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-16T08:57:15Z","title_canon_sha256":"fde7e83d678c5a9f57e3bbe4025264c535d9eed9845ee31c2cbca8ae7cd3b1e2"},"schema_version":"1.0","source":{"id":"1603.04992","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.04992","created_at":"2026-05-18T01:10:17Z"},{"alias_kind":"arxiv_version","alias_value":"1603.04992v2","created_at":"2026-05-18T01:10:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04992","created_at":"2026-05-18T01:10:17Z"},{"alias_kind":"pith_short_12","alias_value":"5UN4IAJDOR5O","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"5UN4IAJDOR5OOEH2","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"5UN4IAJD","created_at":"2026-05-18T12:30:01Z"}],"graph_snapshots":[{"event_id":"sha256:284427f762eef08cfcad40df178ffbf12c5adc654bc9b5e84bcc45007910e1b3","target":"graph","created_at":"2026-05-18T01:10:17Z","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":"A significant weakness of most current deep Convolutional Neural Networks is the need to train them using vast amounts of manu- ally labelled data. In this work we propose a unsupervised framework to learn a deep convolutional neural network for single view depth predic- tion, without requiring a pre-training stage or annotated ground truth depths. We achieve this by training the network in a manner analogous to an autoencoder. At training time we consider a pair of images, source and target, with small, known camera motion between the two such as a stereo pair. We train the convolutional enco","authors_text":"Gustavo Carneiro, Ian Reid, Ravi Garg, Vijay Kumar BG","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-16T08:57:15Z","title":"Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04992","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":"sha256:712f1a9e91c209c8228e2729a76cad210b0724450deee9c65e410eb2903f2c13","target":"record","created_at":"2026-05-18T01:10:17Z","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":"97876dea5e1360c50bca0535344469f6793f734d525ce7544f6239aee4213ef6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-16T08:57:15Z","title_canon_sha256":"fde7e83d678c5a9f57e3bbe4025264c535d9eed9845ee31c2cbca8ae7cd3b1e2"},"schema_version":"1.0","source":{"id":"1603.04992","kind":"arxiv","version":2}},"canonical_sha256":"ed1bc40123747ae710faae5fdf1732303ca484289d17b3cdcf7f3185093f0fa0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed1bc40123747ae710faae5fdf1732303ca484289d17b3cdcf7f3185093f0fa0","first_computed_at":"2026-05-18T01:10:17.970342Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:10:17.970342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ueyQ1rKQ/P/CsWiGv8WWhshnxlPPtIJOt3m32nXFW+Uhb+MGUYMyN8O/pVMpMwFHNVxtK15UJ5QgXas9MinwCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:10:17.970980Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.04992","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:712f1a9e91c209c8228e2729a76cad210b0724450deee9c65e410eb2903f2c13","sha256:284427f762eef08cfcad40df178ffbf12c5adc654bc9b5e84bcc45007910e1b3"],"state_sha256":"bdade42372add94a342cb8c6e68817688a01957e40183c967b02f7ca80aa89b8"}