{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:P4AIENJZHWLDBMSOXMXKAAIJY6","short_pith_number":"pith:P4AIENJZ","schema_version":"1.0","canonical_sha256":"7f008235393d9630b24ebb2ea00109c784140ccec039437eff88b350ece3fd35","source":{"kind":"arxiv","id":"1904.13300","version":3},"attestation_state":"computed","paper":{"title":"Segmentation is All You Need","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Thomas Lukasiewicz, Weiyang Wang, Yuxiang WU, Zehua Cheng, Zhenghua Xu","submitted_at":"2019-04-30T15:13:01Z","abstract_excerpt":"Region proposal mechanisms are essential for existing deep learning approaches to object detection in images. Although they can generally achieve a good detection performance under normal circumstances, their recall in a scene with extreme cases is unacceptably low. This is mainly because bounding box annotations contain much environment noise information, and non-maximum suppression (NMS) is required to select target boxes. Therefore, in this paper, we propose the first anchor-free and NMS-free object detection model called weakly supervised multimodal annotation segmentation (WSMA-Seg), whic"},"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":"1904.13300","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-30T15:13:01Z","cross_cats_sorted":[],"title_canon_sha256":"b66e783636ad0266f3a05c7e8b9eb65784d733a5c5cbf59d523936050ecbe2c6","abstract_canon_sha256":"2440f085a54ddcbe83fd21b1118d97e08c39c6a139e176cc2599f8cca934615a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:08.933418Z","signature_b64":"kZmuowFU9N5r+ABtYJtVUza4C9YXjLZolpq/7KHhZrgAnDpnvmZgtlDXzzEbJBAPef4uIYlki+fqQpWwKOJ8Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f008235393d9630b24ebb2ea00109c784140ccec039437eff88b350ece3fd35","last_reissued_at":"2026-05-17T23:45:08.932679Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:08.932679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Segmentation is All You Need","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Thomas Lukasiewicz, Weiyang Wang, Yuxiang WU, Zehua Cheng, Zhenghua Xu","submitted_at":"2019-04-30T15:13:01Z","abstract_excerpt":"Region proposal mechanisms are essential for existing deep learning approaches to object detection in images. Although they can generally achieve a good detection performance under normal circumstances, their recall in a scene with extreme cases is unacceptably low. This is mainly because bounding box annotations contain much environment noise information, and non-maximum suppression (NMS) is required to select target boxes. Therefore, in this paper, we propose the first anchor-free and NMS-free object detection model called weakly supervised multimodal annotation segmentation (WSMA-Seg), whic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.13300","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1904.13300","created_at":"2026-05-17T23:45:08.932805+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.13300v3","created_at":"2026-05-17T23:45:08.932805+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.13300","created_at":"2026-05-17T23:45:08.932805+00:00"},{"alias_kind":"pith_short_12","alias_value":"P4AIENJZHWLD","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"P4AIENJZHWLDBMSO","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"P4AIENJZ","created_at":"2026-05-18T12:33:24.271573+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/P4AIENJZHWLDBMSOXMXKAAIJY6","json":"https://pith.science/pith/P4AIENJZHWLDBMSOXMXKAAIJY6.json","graph_json":"https://pith.science/api/pith-number/P4AIENJZHWLDBMSOXMXKAAIJY6/graph.json","events_json":"https://pith.science/api/pith-number/P4AIENJZHWLDBMSOXMXKAAIJY6/events.json","paper":"https://pith.science/paper/P4AIENJZ"},"agent_actions":{"view_html":"https://pith.science/pith/P4AIENJZHWLDBMSOXMXKAAIJY6","download_json":"https://pith.science/pith/P4AIENJZHWLDBMSOXMXKAAIJY6.json","view_paper":"https://pith.science/paper/P4AIENJZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.13300&json=true","fetch_graph":"https://pith.science/api/pith-number/P4AIENJZHWLDBMSOXMXKAAIJY6/graph.json","fetch_events":"https://pith.science/api/pith-number/P4AIENJZHWLDBMSOXMXKAAIJY6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P4AIENJZHWLDBMSOXMXKAAIJY6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P4AIENJZHWLDBMSOXMXKAAIJY6/action/storage_attestation","attest_author":"https://pith.science/pith/P4AIENJZHWLDBMSOXMXKAAIJY6/action/author_attestation","sign_citation":"https://pith.science/pith/P4AIENJZHWLDBMSOXMXKAAIJY6/action/citation_signature","submit_replication":"https://pith.science/pith/P4AIENJZHWLDBMSOXMXKAAIJY6/action/replication_record"}},"created_at":"2026-05-17T23:45:08.932805+00:00","updated_at":"2026-05-17T23:45:08.932805+00:00"}