{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5OGGPSQJ25SUZLFMWBHDNS7XTS","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":"e3f9baf801c8e754d9aaa629e2442cb8d7feb288c70acd9d2b96bbfb4c00e5d1","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-03T21:53:46Z","title_canon_sha256":"0c295537549fba253a6a8289a548e8772480b96c0631d0f4bcd007b695ea5f22"},"schema_version":"1.0","source":{"id":"2007.01947","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.01947","created_at":"2026-07-05T01:17:18Z"},{"alias_kind":"arxiv_version","alias_value":"2007.01947v2","created_at":"2026-07-05T01:17:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.01947","created_at":"2026-07-05T01:17:18Z"},{"alias_kind":"pith_short_12","alias_value":"5OGGPSQJ25SU","created_at":"2026-07-05T01:17:18Z"},{"alias_kind":"pith_short_16","alias_value":"5OGGPSQJ25SUZLFM","created_at":"2026-07-05T01:17:18Z"},{"alias_kind":"pith_short_8","alias_value":"5OGGPSQJ","created_at":"2026-07-05T01:17:18Z"}],"graph_snapshots":[{"event_id":"sha256:dd690b4d9eac21f3ab7b929f948d9d69e598fc2cbdc5ba66ff5420b572060f7b","target":"graph","created_at":"2026-07-05T01:17:18Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2007.01947/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper studies the problem of learning semantic segmentation from image-level supervision only. Current popular solutions leverage object localization maps from classifiers as supervision signals, and struggle to make the localization maps capture more complete object content. Rather than previous efforts that primarily focus on intra-image information, we address the value of cross-image semantic relations for comprehensive object pattern mining. To achieve this, two neural co-attentions are incorporated into the classifier to complimentarily capture cross-image semantic similarities and ","authors_text":"Guolei Sun, Jifeng Dai, Luc Van Gool, Wenguan Wang","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-03T21:53:46Z","title":"Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.01947","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":"sha256:23e1b80f9ee938dc344adb761ecf32e7a0c31c121d242a925f47b8aedd6ebf24","target":"record","created_at":"2026-07-05T01:17:18Z","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":"e3f9baf801c8e754d9aaa629e2442cb8d7feb288c70acd9d2b96bbfb4c00e5d1","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-03T21:53:46Z","title_canon_sha256":"0c295537549fba253a6a8289a548e8772480b96c0631d0f4bcd007b695ea5f22"},"schema_version":"1.0","source":{"id":"2007.01947","kind":"arxiv","version":2}},"canonical_sha256":"eb8c67ca09d7654cacacb04e36cbf79c8ed0b07db4161739c7086b69a5c4ac2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb8c67ca09d7654cacacb04e36cbf79c8ed0b07db4161739c7086b69a5c4ac2c","first_computed_at":"2026-07-05T01:17:18.974657Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:17:18.974657Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x+tuUSjmId72zOF+8ZOZZVud1Gm2NEsXLb7I1QK+XArRKQWB2dYk9gH6eDehi2IcvCbqHnmaBFJeaSdVU6v3AA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:17:18.975070Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.01947","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23e1b80f9ee938dc344adb761ecf32e7a0c31c121d242a925f47b8aedd6ebf24","sha256:dd690b4d9eac21f3ab7b929f948d9d69e598fc2cbdc5ba66ff5420b572060f7b"],"state_sha256":"5f1d1284027e1006c754b4cddd6aca1a0ed6d6570f6e51dd48b6b05188b90496"}