{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:DHKNGARIKFDUTM4QIGJYRISWUF","short_pith_number":"pith:DHKNGARI","schema_version":"1.0","canonical_sha256":"19d4d30228514749b390419388a256a14382b8e248a83e51e71525c208e1c280","source":{"kind":"arxiv","id":"1909.02651","version":1},"attestation_state":"computed","paper":{"title":"Semantic Correlation Promoted Shape-Variant Context for Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ai Qun Liu, Bing Shuai, Gang Wang, Henghui Ding, Xudong Jiang","submitted_at":"2019-09-05T22:09:41Z","abstract_excerpt":"Context is essential for semantic segmentation. Due to the diverse shapes of objects and their complex layout in various scene images, the spatial scales and shapes of contexts for different objects have very large variation. It is thus ineffective or inefficient to aggregate various context information from a predefined fixed region. In this work, we propose to generate a scale- and shape-variant semantic mask for each pixel to confine its contextual region. To this end, we first propose a novel paired convolution to infer the semantic correlation of the pair and based on that to generate a s"},"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":"1909.02651","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-05T22:09:41Z","cross_cats_sorted":[],"title_canon_sha256":"542503b6483a72267d4088714777fb967c97b4bcde4fa02754d8434541b46b97","abstract_canon_sha256":"ed644863482bb33e58a92de5bd363687ddcbacbcb95c08df398deb4f4274ed30"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:02:41.535963Z","signature_b64":"z2WV9mVSopG6tlmunHqRVmhGg9ueWznhLYsDhk7VCEpXkYBQ4h/Cp3ITl8GCxKuhEiCLOrSv2QbOxJ5/xM6GAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19d4d30228514749b390419388a256a14382b8e248a83e51e71525c208e1c280","last_reissued_at":"2026-07-05T00:02:41.535602Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:02:41.535602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Semantic Correlation Promoted Shape-Variant Context for Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ai Qun Liu, Bing Shuai, Gang Wang, Henghui Ding, Xudong Jiang","submitted_at":"2019-09-05T22:09:41Z","abstract_excerpt":"Context is essential for semantic segmentation. Due to the diverse shapes of objects and their complex layout in various scene images, the spatial scales and shapes of contexts for different objects have very large variation. It is thus ineffective or inefficient to aggregate various context information from a predefined fixed region. In this work, we propose to generate a scale- and shape-variant semantic mask for each pixel to confine its contextual region. To this end, we first propose a novel paired convolution to infer the semantic correlation of the pair and based on that to generate a s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.02651","kind":"arxiv","version":1},"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/1909.02651/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":"1909.02651","created_at":"2026-07-05T00:02:41.535681+00:00"},{"alias_kind":"arxiv_version","alias_value":"1909.02651v1","created_at":"2026-07-05T00:02:41.535681+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.02651","created_at":"2026-07-05T00:02:41.535681+00:00"},{"alias_kind":"pith_short_12","alias_value":"DHKNGARIKFDU","created_at":"2026-07-05T00:02:41.535681+00:00"},{"alias_kind":"pith_short_16","alias_value":"DHKNGARIKFDUTM4Q","created_at":"2026-07-05T00:02:41.535681+00:00"},{"alias_kind":"pith_short_8","alias_value":"DHKNGARI","created_at":"2026-07-05T00:02:41.535681+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/DHKNGARIKFDUTM4QIGJYRISWUF","json":"https://pith.science/pith/DHKNGARIKFDUTM4QIGJYRISWUF.json","graph_json":"https://pith.science/api/pith-number/DHKNGARIKFDUTM4QIGJYRISWUF/graph.json","events_json":"https://pith.science/api/pith-number/DHKNGARIKFDUTM4QIGJYRISWUF/events.json","paper":"https://pith.science/paper/DHKNGARI"},"agent_actions":{"view_html":"https://pith.science/pith/DHKNGARIKFDUTM4QIGJYRISWUF","download_json":"https://pith.science/pith/DHKNGARIKFDUTM4QIGJYRISWUF.json","view_paper":"https://pith.science/paper/DHKNGARI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1909.02651&json=true","fetch_graph":"https://pith.science/api/pith-number/DHKNGARIKFDUTM4QIGJYRISWUF/graph.json","fetch_events":"https://pith.science/api/pith-number/DHKNGARIKFDUTM4QIGJYRISWUF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DHKNGARIKFDUTM4QIGJYRISWUF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DHKNGARIKFDUTM4QIGJYRISWUF/action/storage_attestation","attest_author":"https://pith.science/pith/DHKNGARIKFDUTM4QIGJYRISWUF/action/author_attestation","sign_citation":"https://pith.science/pith/DHKNGARIKFDUTM4QIGJYRISWUF/action/citation_signature","submit_replication":"https://pith.science/pith/DHKNGARIKFDUTM4QIGJYRISWUF/action/replication_record"}},"created_at":"2026-07-05T00:02:41.535681+00:00","updated_at":"2026-07-05T00:02:41.535681+00:00"}