{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LERAY4VVWCE7MFOGAAUEYVHEXI","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":"812399c1f1af1fb8ee9957482516cb13f2686caa6d83fddd9bcda642daa6ce36","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-05T14:19:19Z","title_canon_sha256":"c58d8bd8a0f4b4d90900cb2024a44263954b946354a87c807fab5b6f9e54ae84"},"schema_version":"1.0","source":{"id":"1808.01625","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.01625","created_at":"2026-05-17T23:47:30Z"},{"alias_kind":"arxiv_version","alias_value":"1808.01625v3","created_at":"2026-05-17T23:47:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.01625","created_at":"2026-05-17T23:47:30Z"},{"alias_kind":"pith_short_12","alias_value":"LERAY4VVWCE7","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LERAY4VVWCE7MFOG","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LERAY4VV","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:e7fb0cc9fd004f82ad812435b35cadce8a2e9673c104e280f4268d16098d783a","target":"graph","created_at":"2026-05-17T23:47:30Z","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":"Generating training sets for deep convolutional neural networks (DCNNs) is a bottleneck for modern real-world applications. This is a demanding task for applications where annotating training data is costly, such as in semantic segmentation. In the literature, there is still a gap between the performance achieved by a network trained on full and on weak annotations. In this paper, we establish a strategy to measure this gap and to identify the ingredients necessary to reduce it.\n  On scribbles, we establish new state-of-the-art results: we obtain a mIoU of 75.6% without, and 75.7% with CRF pos","authors_text":"Christoph Mayer, Gr\\'egory Paul, Radu Timofte","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-05T14:19:19Z","title":"Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.01625","kind":"arxiv","version":3},"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":"sha256:62009a0bd3faf7390f7a7d51a3ed2ff11b64cfeb0950119d062def5405dbc2bb","target":"record","created_at":"2026-05-17T23:47:30Z","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":"812399c1f1af1fb8ee9957482516cb13f2686caa6d83fddd9bcda642daa6ce36","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-05T14:19:19Z","title_canon_sha256":"c58d8bd8a0f4b4d90900cb2024a44263954b946354a87c807fab5b6f9e54ae84"},"schema_version":"1.0","source":{"id":"1808.01625","kind":"arxiv","version":3}},"canonical_sha256":"59220c72b5b089f615c600284c54e4ba19c73f2818736c85556872e0851fdcd4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59220c72b5b089f615c600284c54e4ba19c73f2818736c85556872e0851fdcd4","first_computed_at":"2026-05-17T23:47:30.592154Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:30.592154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qBw6gLGzAEUecg1Li1cKTbIGbD8rl+BhQKwwk9rxpAdk8n1SZ9EqzJj98Q02angwBa3neWQ6MccQjJ1Kqtq9Dw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:30.592632Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.01625","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62009a0bd3faf7390f7a7d51a3ed2ff11b64cfeb0950119d062def5405dbc2bb","sha256:e7fb0cc9fd004f82ad812435b35cadce8a2e9673c104e280f4268d16098d783a"],"state_sha256":"94ac3d8ca923193929d0caefa3a4fac774ece26e3b66f257aa28e5d7aef95767"}