{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:QR4O64QMN3LUERWUXCBEISMR3T","short_pith_number":"pith:QR4O64QM","schema_version":"1.0","canonical_sha256":"8478ef720c6ed74246d4b882444991dcef2156f3b8e45feeb880c6d454e3a4ca","source":{"kind":"arxiv","id":"2203.06883","version":1},"attestation_state":"computed","paper":{"title":"Accelerating DETR Convergence via Semantic-Aligned Matching","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gongjie Zhang, Kaiwen Cui, Shijian Lu, Yingchen Yu, Zhipeng Luo","submitted_at":"2022-03-14T06:50:51Z","abstract_excerpt":"The recently developed DEtection TRansformer (DETR) establishes a new object detection paradigm by eliminating a series of hand-crafted components. However, DETR suffers from extremely slow convergence, which increases the training cost significantly. We observe that the slow convergence is largely attributed to the complication in matching object queries with target features in different feature embedding spaces. This paper presents SAM-DETR, a Semantic-Aligned-Matching DETR that greatly accelerates DETR's convergence without sacrificing its accuracy. SAM-DETR addresses the convergence issue "},"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":"2203.06883","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-14T06:50:51Z","cross_cats_sorted":[],"title_canon_sha256":"01b5a0f302346b2d01fc231d048ed271b0591163c4c4ed01737175f1d3a7e991","abstract_canon_sha256":"e2342f6a3c75f3e82145a7b502b47a9fcece98add6915083ff4e0b1ef3161321"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:04:57.198649Z","signature_b64":"MZMbW+krQP75bAYgp4hzTSLNoeTatArV3EpqSKwgApz5GM7tUBTtWRSbK7wjBkqh4udYMKjM7whoSF8Wffg3Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8478ef720c6ed74246d4b882444991dcef2156f3b8e45feeb880c6d454e3a4ca","last_reissued_at":"2026-07-05T04:04:57.198137Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:04:57.198137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Accelerating DETR Convergence via Semantic-Aligned Matching","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gongjie Zhang, Kaiwen Cui, Shijian Lu, Yingchen Yu, Zhipeng Luo","submitted_at":"2022-03-14T06:50:51Z","abstract_excerpt":"The recently developed DEtection TRansformer (DETR) establishes a new object detection paradigm by eliminating a series of hand-crafted components. However, DETR suffers from extremely slow convergence, which increases the training cost significantly. We observe that the slow convergence is largely attributed to the complication in matching object queries with target features in different feature embedding spaces. This paper presents SAM-DETR, a Semantic-Aligned-Matching DETR that greatly accelerates DETR's convergence without sacrificing its accuracy. SAM-DETR addresses the convergence issue "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.06883","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/2203.06883/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":"2203.06883","created_at":"2026-07-05T04:04:57.198207+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.06883v1","created_at":"2026-07-05T04:04:57.198207+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.06883","created_at":"2026-07-05T04:04:57.198207+00:00"},{"alias_kind":"pith_short_12","alias_value":"QR4O64QMN3LU","created_at":"2026-07-05T04:04:57.198207+00:00"},{"alias_kind":"pith_short_16","alias_value":"QR4O64QMN3LUERWU","created_at":"2026-07-05T04:04:57.198207+00:00"},{"alias_kind":"pith_short_8","alias_value":"QR4O64QM","created_at":"2026-07-05T04:04:57.198207+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/QR4O64QMN3LUERWUXCBEISMR3T","json":"https://pith.science/pith/QR4O64QMN3LUERWUXCBEISMR3T.json","graph_json":"https://pith.science/api/pith-number/QR4O64QMN3LUERWUXCBEISMR3T/graph.json","events_json":"https://pith.science/api/pith-number/QR4O64QMN3LUERWUXCBEISMR3T/events.json","paper":"https://pith.science/paper/QR4O64QM"},"agent_actions":{"view_html":"https://pith.science/pith/QR4O64QMN3LUERWUXCBEISMR3T","download_json":"https://pith.science/pith/QR4O64QMN3LUERWUXCBEISMR3T.json","view_paper":"https://pith.science/paper/QR4O64QM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.06883&json=true","fetch_graph":"https://pith.science/api/pith-number/QR4O64QMN3LUERWUXCBEISMR3T/graph.json","fetch_events":"https://pith.science/api/pith-number/QR4O64QMN3LUERWUXCBEISMR3T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QR4O64QMN3LUERWUXCBEISMR3T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QR4O64QMN3LUERWUXCBEISMR3T/action/storage_attestation","attest_author":"https://pith.science/pith/QR4O64QMN3LUERWUXCBEISMR3T/action/author_attestation","sign_citation":"https://pith.science/pith/QR4O64QMN3LUERWUXCBEISMR3T/action/citation_signature","submit_replication":"https://pith.science/pith/QR4O64QMN3LUERWUXCBEISMR3T/action/replication_record"}},"created_at":"2026-07-05T04:04:57.198207+00:00","updated_at":"2026-07-05T04:04:57.198207+00:00"}