{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:VX6DG2KAPVDGEYBFJRFBV2BOHK","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":"1a598b332e70296fe9ba76910fb710f1a064ed3e5478adf81d42f83fb7a762b2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-04T21:14:32Z","title_canon_sha256":"af114a4c5d87351cf7e8c2a53a741efe78f37f6c95163faf002600085c99aa8c"},"schema_version":"1.0","source":{"id":"1712.01361","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.01361","created_at":"2026-05-18T00:09:37Z"},{"alias_kind":"arxiv_version","alias_value":"1712.01361v2","created_at":"2026-05-18T00:09:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.01361","created_at":"2026-05-18T00:09:37Z"},{"alias_kind":"pith_short_12","alias_value":"VX6DG2KAPVDG","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"VX6DG2KAPVDGEYBF","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"VX6DG2KA","created_at":"2026-05-18T12:31:49Z"}],"graph_snapshots":[{"event_id":"sha256:156437faf0462aea097f7170bc367f7f3bed8d93c7cd358551258cd5e557f9c5","target":"graph","created_at":"2026-05-18T00:09:37Z","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 GAN-based framework for detecting shadows in images, in which a shadow detection network (D-Net) is trained together with a shadow attenuation network (A-Net) that generates adversarial training examples. The A-Net modifies the original training images constrained by a simplified physical shadow model and is focused on fooling the D-Net's shadow predictions. Hence, it is effectively augmenting the training data for D-Net with hard-to-predict cases. The D-Net is trained to predict shadows in both original images and generated images from the A-Net. Our experimental results sh","authors_text":"Dimitris Samaras, Hieu Le, Minh Hoai, Tomas F. Yago Vicente, Vu Nguyen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-04T21:14:32Z","title":"A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.01361","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:cbbc3662a1f8b9c1a23d6fbe986630a712216e6a7cf655dd31d6605e7a5a646d","target":"record","created_at":"2026-05-18T00:09:37Z","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":"1a598b332e70296fe9ba76910fb710f1a064ed3e5478adf81d42f83fb7a762b2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-04T21:14:32Z","title_canon_sha256":"af114a4c5d87351cf7e8c2a53a741efe78f37f6c95163faf002600085c99aa8c"},"schema_version":"1.0","source":{"id":"1712.01361","kind":"arxiv","version":2}},"canonical_sha256":"adfc3369407d466260254c4a1ae82e3aa293c402a6d8019ae0829611cecc20f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"adfc3369407d466260254c4a1ae82e3aa293c402a6d8019ae0829611cecc20f7","first_computed_at":"2026-05-18T00:09:37.625701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:37.625701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"56n/+DLEzjIuZYYVw/olIvtQoiZe8IPomaIiztA+P79wznywjv3+d3K/oQjB8WJr0f5btn5rvjjW9HLZDQ+PBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:37.626345Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.01361","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbbc3662a1f8b9c1a23d6fbe986630a712216e6a7cf655dd31d6605e7a5a646d","sha256:156437faf0462aea097f7170bc367f7f3bed8d93c7cd358551258cd5e557f9c5"],"state_sha256":"cf889cfac4302d4df12c673461a89b2ba6e1e63a87dc1e64e13e6f7db2f1e75c"}