{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:W2ZE3UXOUR34W62E3JSRT645YY","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":"651704fea862feaa92eedc5f21f93c539df7e40ff491ffe441e5a7b457c1ff35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-01T22:26:24Z","title_canon_sha256":"b3bf9749797bab64fc98861a5ff590d58c198897d51da119767ad147f645a432"},"schema_version":"1.0","source":{"id":"1802.00509","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.00509","created_at":"2026-05-18T00:24:32Z"},{"alias_kind":"arxiv_version","alias_value":"1802.00509v1","created_at":"2026-05-18T00:24:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.00509","created_at":"2026-05-18T00:24:32Z"},{"alias_kind":"pith_short_12","alias_value":"W2ZE3UXOUR34","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"W2ZE3UXOUR34W62E","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"W2ZE3UXO","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:bccc9cf6a5deabcaa55d4ffe575b82700061849c44e135ff71ddef2f30a2b8f1","target":"graph","created_at":"2026-05-18T00:24:32Z","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":"Models based on deep convolutional neural networks (CNN) have significantly improved the performance of semantic segmentation. However, learning these models requires a large amount of training images with pixel-level labels, which are very costly and time-consuming to collect. In this paper, we propose a method for learning CNN-based semantic segmentation models from images with several types of annotations that are available for various computer vision tasks, including image-level labels for classification, box-level labels for object detection and pixel-level labels for semantic segmentatio","authors_text":"Linwei Ye, Yang Wang, Zhi Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-01T22:26:24Z","title":"Learning Semantic Segmentation with Diverse Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.00509","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:d648cafa685bab418606517f1b0a04a91b4a27df17bfdf948cc9067ba4b0a5ee","target":"record","created_at":"2026-05-18T00:24:32Z","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":"651704fea862feaa92eedc5f21f93c539df7e40ff491ffe441e5a7b457c1ff35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-01T22:26:24Z","title_canon_sha256":"b3bf9749797bab64fc98861a5ff590d58c198897d51da119767ad147f645a432"},"schema_version":"1.0","source":{"id":"1802.00509","kind":"arxiv","version":1}},"canonical_sha256":"b6b24dd2eea477cb7b44da6519fb9dc625d399bc366e4e6f597aa447108072f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6b24dd2eea477cb7b44da6519fb9dc625d399bc366e4e6f597aa447108072f8","first_computed_at":"2026-05-18T00:24:32.998565Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:32.998565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6z9A3numRYmkAvhE3uOsZmYeUtZv+SkkHSaW+XTwqB+oXWPNAGuLpL0WP2WWndJXXlO55XuIxM06U0m7gjhyDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:32.998934Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.00509","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d648cafa685bab418606517f1b0a04a91b4a27df17bfdf948cc9067ba4b0a5ee","sha256:bccc9cf6a5deabcaa55d4ffe575b82700061849c44e135ff71ddef2f30a2b8f1"],"state_sha256":"9295c2406a77ca4a9884c6a6903a9e440e27d4ef2321d7bd7a13791ac74e8961"}