{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KXGGWME2LYNKDRI257LAARGJGF","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":"7b0b695f7d7010052a9864c396fbf2a5b43cd16611f6794ee238f8cc2db3c150","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-08T01:29:55Z","title_canon_sha256":"c5b047fe05653d7c475627a73caa21525bff718795fadb208e63e0b876d8138f"},"schema_version":"1.0","source":{"id":"2303.04315","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.04315","created_at":"2026-07-05T05:49:19Z"},{"alias_kind":"arxiv_version","alias_value":"2303.04315v1","created_at":"2026-07-05T05:49:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.04315","created_at":"2026-07-05T05:49:19Z"},{"alias_kind":"pith_short_12","alias_value":"KXGGWME2LYNK","created_at":"2026-07-05T05:49:19Z"},{"alias_kind":"pith_short_16","alias_value":"KXGGWME2LYNKDRI2","created_at":"2026-07-05T05:49:19Z"},{"alias_kind":"pith_short_8","alias_value":"KXGGWME2","created_at":"2026-07-05T05:49:19Z"}],"graph_snapshots":[{"event_id":"sha256:a6668f22a1661c3cdcb797b97675ef55c82f0c041dad609939e19d4a844c2d48","target":"graph","created_at":"2026-07-05T05:49:19Z","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/2303.04315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic image and video segmentation stand among the most important tasks in computer vision nowadays, since they provide a complete and meaningful representation of the environment by means of a dense classification of the pixels in a given scene. Recently, Deep Learning, and more precisely Convolutional Neural Networks, have boosted semantic segmentation to a new level in terms of performance and generalization capabilities. However, designing Deep Semantic Segmentation models is a complex task, as it may involve application-dependent aspects. Particularly, when considering autonomous drivi","authors_text":"Felipe Manfio Barbosa, Fernando Santos Os\\'orio","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-08T01:29:55Z","title":"A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.04315","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:f2998c74e33a2a905a9bab4b8da964bd943223891ec5ba49ff51c3b02332ff7a","target":"record","created_at":"2026-07-05T05:49:19Z","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":"7b0b695f7d7010052a9864c396fbf2a5b43cd16611f6794ee238f8cc2db3c150","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-08T01:29:55Z","title_canon_sha256":"c5b047fe05653d7c475627a73caa21525bff718795fadb208e63e0b876d8138f"},"schema_version":"1.0","source":{"id":"2303.04315","kind":"arxiv","version":1}},"canonical_sha256":"55cc6b309a5e1aa1c51aefd60044c931758a84575780505db7938ec1933b953a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55cc6b309a5e1aa1c51aefd60044c931758a84575780505db7938ec1933b953a","first_computed_at":"2026-07-05T05:49:19.814636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:49:19.814636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BRHIOdvDFYH9JXiu0AzEp+I9y00CVI2mVnXh0PHjSLfgCFTwy2B06Ih8TZXdBu+TVWlMilbh1kgXqDDIeb24AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:49:19.815114Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.04315","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2998c74e33a2a905a9bab4b8da964bd943223891ec5ba49ff51c3b02332ff7a","sha256:a6668f22a1661c3cdcb797b97675ef55c82f0c041dad609939e19d4a844c2d48"],"state_sha256":"f0241bf6e111fc301dddb7fb28187ef7a1014a5209ce153a499edd84675bc6f1"}