{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:UADMUJLQWSRV6IGUNPFUHGOS7S","short_pith_number":"pith:UADMUJLQ","schema_version":"1.0","canonical_sha256":"a006ca2570b4a35f20d46bcb4399d2fc831006dc03b91bc8ffa158fdbaeb06b7","source":{"kind":"arxiv","id":"2201.01953","version":2},"attestation_state":"computed","paper":{"title":"Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deren Li, Gong Cheng, Gui-Song Xia, Liangpei Zhang, Yang Long","submitted_at":"2022-01-06T07:40:47Z","abstract_excerpt":"Given an aerial image, aerial scene parsing (ASP) targets to interpret the semantic structure of the image content, e.g., by assigning a semantic label to every pixel of the image. With the popularization of data-driven methods, the past decades have witnessed promising progress on ASP by approaching the problem with the schemes of tile-level scene classification or segmentation-based image analysis, when using high-resolution aerial images. However, the former scheme often produces results with tile-wise boundaries, while the latter one needs to handle the complex modeling process from pixels"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2201.01953","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-06T07:40:47Z","cross_cats_sorted":[],"title_canon_sha256":"2f82b86b2186ce4b3527fce970ec460d3ab0387fa789a213cbf7d7e51e86b19a","abstract_canon_sha256":"bd9a5788a2dacfc3be6d4daf9afb33a41443bfa8b8663c6f60cbb339ec9cfb2d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:47:03.898606Z","signature_b64":"yvSnlZTNbUH0LHwUZDjkNA5UZaZk7v/t7a0u23TburtLM5FX6G5Jyzu/OBpvSJScpnEVuFO3CEcNZdjhoi9ABQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a006ca2570b4a35f20d46bcb4399d2fc831006dc03b91bc8ffa158fdbaeb06b7","last_reissued_at":"2026-07-05T03:47:03.898145Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:47:03.898145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deren Li, Gong Cheng, Gui-Song Xia, Liangpei Zhang, Yang Long","submitted_at":"2022-01-06T07:40:47Z","abstract_excerpt":"Given an aerial image, aerial scene parsing (ASP) targets to interpret the semantic structure of the image content, e.g., by assigning a semantic label to every pixel of the image. With the popularization of data-driven methods, the past decades have witnessed promising progress on ASP by approaching the problem with the schemes of tile-level scene classification or segmentation-based image analysis, when using high-resolution aerial images. However, the former scheme often produces results with tile-wise boundaries, while the latter one needs to handle the complex modeling process from pixels"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.01953","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2201.01953/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2201.01953","created_at":"2026-07-05T03:47:03.898204+00:00"},{"alias_kind":"arxiv_version","alias_value":"2201.01953v2","created_at":"2026-07-05T03:47:03.898204+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.01953","created_at":"2026-07-05T03:47:03.898204+00:00"},{"alias_kind":"pith_short_12","alias_value":"UADMUJLQWSRV","created_at":"2026-07-05T03:47:03.898204+00:00"},{"alias_kind":"pith_short_16","alias_value":"UADMUJLQWSRV6IGU","created_at":"2026-07-05T03:47:03.898204+00:00"},{"alias_kind":"pith_short_8","alias_value":"UADMUJLQ","created_at":"2026-07-05T03:47:03.898204+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S","json":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S.json","graph_json":"https://pith.science/api/pith-number/UADMUJLQWSRV6IGUNPFUHGOS7S/graph.json","events_json":"https://pith.science/api/pith-number/UADMUJLQWSRV6IGUNPFUHGOS7S/events.json","paper":"https://pith.science/paper/UADMUJLQ"},"agent_actions":{"view_html":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S","download_json":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S.json","view_paper":"https://pith.science/paper/UADMUJLQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2201.01953&json=true","fetch_graph":"https://pith.science/api/pith-number/UADMUJLQWSRV6IGUNPFUHGOS7S/graph.json","fetch_events":"https://pith.science/api/pith-number/UADMUJLQWSRV6IGUNPFUHGOS7S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S/action/storage_attestation","attest_author":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S/action/author_attestation","sign_citation":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S/action/citation_signature","submit_replication":"https://pith.science/pith/UADMUJLQWSRV6IGUNPFUHGOS7S/action/replication_record"}},"created_at":"2026-07-05T03:47:03.898204+00:00","updated_at":"2026-07-05T03:47:03.898204+00:00"}