{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:44VSPA26A7S7FYZRKFJWJO7THK","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":"8df16a1fa66d27590f6e18e25f698c4f2ee99f24b82011a7e70ff402d33e66ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-11T11:40:08Z","title_canon_sha256":"5f88af7c1bcbd2023543008b67cf235944a3c476fbe24785176449644743936b"},"schema_version":"1.0","source":{"id":"1712.03727","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.03727","created_at":"2026-05-18T00:28:20Z"},{"alias_kind":"arxiv_version","alias_value":"1712.03727v1","created_at":"2026-05-18T00:28:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.03727","created_at":"2026-05-18T00:28:20Z"},{"alias_kind":"pith_short_12","alias_value":"44VSPA26A7S7","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"44VSPA26A7S7FYZR","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"44VSPA26","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:62b338806de73f12dc66fec705ef3e46933b12d705a263de31f4059936d5ead5","target":"graph","created_at":"2026-05-18T00:28:20Z","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":"Humans comprehend a natural scene at a single glance; painters and other visual artists, through their abstract representations, stressed this capacity to the limit. The performance of computer vision solutions matched that of humans in many problems of visual recognition. In this paper we address the problem of recognizing the genre (subject) in digitized paintings using Convolutional Neural Networks (CNN) as part of the more general dealing with abstract and/or artistic representation of scenes. Initially we establish the state of the art performance by training a CNN from scratch. In the ne","authors_text":"Constantin Vertan, Corneliu Florea, Laura Florea, Mihai Badea","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-11T11:40:08Z","title":"Can We Teach Computers to Understand Art? Domain Adaptation for Enhancing Deep Networks Capacity to De-Abstract Art"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.03727","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:c9907b949f2fe20d878f40cba7fc2ea6a930439397cd0893d88445d4590b43f1","target":"record","created_at":"2026-05-18T00:28:20Z","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":"8df16a1fa66d27590f6e18e25f698c4f2ee99f24b82011a7e70ff402d33e66ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-11T11:40:08Z","title_canon_sha256":"5f88af7c1bcbd2023543008b67cf235944a3c476fbe24785176449644743936b"},"schema_version":"1.0","source":{"id":"1712.03727","kind":"arxiv","version":1}},"canonical_sha256":"e72b27835e07e5f2e331515364bbf33a92e1ef6290623f467fdee0f2e3f1480d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e72b27835e07e5f2e331515364bbf33a92e1ef6290623f467fdee0f2e3f1480d","first_computed_at":"2026-05-18T00:28:20.234532Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:28:20.234532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yT07N/U0FDkiC2x21mEHI9oZ5mQwL1GU1hx0xW1bFLMqUJbc5/j77DtrjPy2npzblF5Z9naHkKot85tMGadlAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:28:20.235194Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.03727","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9907b949f2fe20d878f40cba7fc2ea6a930439397cd0893d88445d4590b43f1","sha256:62b338806de73f12dc66fec705ef3e46933b12d705a263de31f4059936d5ead5"],"state_sha256":"d0377708d19b1181b05631e705ed29dab3d34419cbbbcc267cce476a1e336a01"}