{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:FSZNAXF3JYNN2IF2NOZYCCSRFO","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":"98542ee8c414c9ab8012ba7f7640fb66e66c5dfbb3b27df38cd8fe167ed8b584","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-24T22:33:27Z","title_canon_sha256":"4eb3d31bb08783252c3f34f15ed14ec59f4293e44a1fd2b055a1b69e63ed213a"},"schema_version":"1.0","source":{"id":"1512.07928","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.07928","created_at":"2026-05-18T01:23:43Z"},{"alias_kind":"arxiv_version","alias_value":"1512.07928v1","created_at":"2026-05-18T01:23:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.07928","created_at":"2026-05-18T01:23:43Z"},{"alias_kind":"pith_short_12","alias_value":"FSZNAXF3JYNN","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_16","alias_value":"FSZNAXF3JYNN2IF2","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_8","alias_value":"FSZNAXF3","created_at":"2026-05-18T12:29:22Z"}],"graph_snapshots":[{"event_id":"sha256:50a7fcf5b1b59cea5ecd92fe49c1877661c7e1f844da6569da3693cc95c23af0","target":"graph","created_at":"2026-05-18T01:23:43Z","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 weakly-supervised semantic segmentation algorithm based on Deep Convolutional Neural Network (DCNN). Contrary to existing weakly-supervised approaches, our algorithm exploits auxiliary segmentation annotations available for different categories to guide segmentations on images with only image-level class labels. To make the segmentation knowledge transferrable across categories, we design a decoupled encoder-decoder architecture with attention model. In this architecture, the model generates spatial highlights of each category presented in an image using an attention model, ","authors_text":"Bohyung Han, Honglak Lee, Junhyuk Oh, Seunghoon Hong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-24T22:33:27Z","title":"Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.07928","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:c427de3fe2b377da5e94c29eb62b9eedc6ae04d805b01ea4ebc8bb69ddcdf454","target":"record","created_at":"2026-05-18T01:23:43Z","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":"98542ee8c414c9ab8012ba7f7640fb66e66c5dfbb3b27df38cd8fe167ed8b584","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-24T22:33:27Z","title_canon_sha256":"4eb3d31bb08783252c3f34f15ed14ec59f4293e44a1fd2b055a1b69e63ed213a"},"schema_version":"1.0","source":{"id":"1512.07928","kind":"arxiv","version":1}},"canonical_sha256":"2cb2d05cbb4e1add20ba6bb3810a512bbb5564042414c1d7c91ed9720c90ffa9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2cb2d05cbb4e1add20ba6bb3810a512bbb5564042414c1d7c91ed9720c90ffa9","first_computed_at":"2026-05-18T01:23:43.919092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:23:43.919092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ea8fu7pqaFlv8GF6MGrSR/xXlhRb9dsyIL+19YkFEjhlNqjE6BHKvQLpjq5PpGcYSg9jN5wCILsQnDhcaUeoBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:23:43.919969Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.07928","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c427de3fe2b377da5e94c29eb62b9eedc6ae04d805b01ea4ebc8bb69ddcdf454","sha256:50a7fcf5b1b59cea5ecd92fe49c1877661c7e1f844da6569da3693cc95c23af0"],"state_sha256":"f2887be78fe2e59153fbcfbcb39be9595bc0302c89483c18ad9ebf7a6b3b7048"}