{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:PPOALR7QAFWSE5NGHRJBYOPG2R","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":"5ba1f26ff6d61d0ad5142eb89fce58d5d55e93c780a5aae22ab4d363deeaceff","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-30T15:00:29Z","title_canon_sha256":"c190cc6ac6c2d5fd624f8c70e7a443e4f02e8896617235261bf3571dacb352a8"},"schema_version":"1.0","source":{"id":"1811.12833","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.12833","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"arxiv_version","alias_value":"1811.12833v2","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.12833","created_at":"2026-05-17T23:48:16Z"},{"alias_kind":"pith_short_12","alias_value":"PPOALR7QAFWS","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"PPOALR7QAFWSE5NG","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"PPOALR7Q","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:225d04498a2b3cb11432d34dac34c7ff77631a99681cdfbdda365e631c8326ca","target":"graph","created_at":"2026-05-17T23:48:16Z","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":"Semantic segmentation is a key problem for many computer vision tasks. While approaches based on convolutional neural networks constantly break new records on different benchmarks, generalizing well to diverse testing environments remains a major challenge. In numerous real world applications, there is indeed a large gap between data distributions in train and test domains, which results in severe performance loss at run-time. In this work, we address the task of unsupervised domain adaptation in semantic segmentation with losses based on the entropy of the pixel-wise predictions. To this end,","authors_text":"Himalaya Jain, Matthieu Cord, Maxime Bucher, Patrick P\\'erez, Tuan-Hung Vu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-30T15:00:29Z","title":"ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.12833","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":"sha256:8c3d91632a372c4cf9b828399605d7165a086d9990c0abbd4c33b1c670d13d06","target":"record","created_at":"2026-05-17T23:48:16Z","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":"5ba1f26ff6d61d0ad5142eb89fce58d5d55e93c780a5aae22ab4d363deeaceff","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-30T15:00:29Z","title_canon_sha256":"c190cc6ac6c2d5fd624f8c70e7a443e4f02e8896617235261bf3571dacb352a8"},"schema_version":"1.0","source":{"id":"1811.12833","kind":"arxiv","version":2}},"canonical_sha256":"7bdc05c7f0016d2275a63c521c39e6d4708b47bb00acf4b89cbd6464fc92c2a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7bdc05c7f0016d2275a63c521c39e6d4708b47bb00acf4b89cbd6464fc92c2a2","first_computed_at":"2026-05-17T23:48:16.901339Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:16.901339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bxhLaJ/ZnnQyLR9INtI0fsJykt0omKs8KM9tdeDqCd9zbO7daG++KPd/z+MMUTZ0RDupTPNYNVtCZKEE2uZFBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:16.901840Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.12833","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c3d91632a372c4cf9b828399605d7165a086d9990c0abbd4c33b1c670d13d06","sha256:225d04498a2b3cb11432d34dac34c7ff77631a99681cdfbdda365e631c8326ca"],"state_sha256":"06fd9eb0dc50bc6b5912d38393e24554cd80d2e9ff06df241a79362f352661ea"}