{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:DIG7MW5QVALR2EVINJAZQXULUT","short_pith_number":"pith:DIG7MW5Q","schema_version":"1.0","canonical_sha256":"1a0df65bb0a8171d12a86a41985e8ba4d57d916203598c1d235579d2e2d84115","source":{"kind":"arxiv","id":"2311.17129","version":1},"attestation_state":"computed","paper":{"title":"Feedback RoI Features Improve Aerial Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Botao Ren, Botian Xu, Jingyi Wang, Tengyu Liu, Zhidong Deng","submitted_at":"2023-11-28T16:09:09Z","abstract_excerpt":"Neuroscience studies have shown that the human visual system utilizes high-level feedback information to guide lower-level perception, enabling adaptation to signals of different characteristics. In light of this, we propose Feedback multi-Level feature Extractor (Flex) to incorporate a similar mechanism for object detection. Flex refines feature selection based on image-wise and instance-level feedback information in response to image quality variation and classification uncertainty. Experimental results show that Flex offers consistent improvement to a range of existing SOTA methods on the c"},"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":"2311.17129","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T16:09:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d1d8ff636c8a83065f52aa97110486b5c31defca68dc13e207baee20fe683dbf","abstract_canon_sha256":"b2d98c3a362167a630284ac3139de73631c06d49304f5adfcc81cb7644c4c08d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:17:57.928475Z","signature_b64":"24ewwiN9JhNkENwGp+xtFu2LNQK2b/dhhs6xptfT/F2atJ6/JiOli3EyxWOXXk3YdniriYuS5Gf7uh2A2EaTBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a0df65bb0a8171d12a86a41985e8ba4d57d916203598c1d235579d2e2d84115","last_reissued_at":"2026-07-05T07:17:57.927964Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:17:57.927964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Feedback RoI Features Improve Aerial Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Botao Ren, Botian Xu, Jingyi Wang, Tengyu Liu, Zhidong Deng","submitted_at":"2023-11-28T16:09:09Z","abstract_excerpt":"Neuroscience studies have shown that the human visual system utilizes high-level feedback information to guide lower-level perception, enabling adaptation to signals of different characteristics. In light of this, we propose Feedback multi-Level feature Extractor (Flex) to incorporate a similar mechanism for object detection. Flex refines feature selection based on image-wise and instance-level feedback information in response to image quality variation and classification uncertainty. Experimental results show that Flex offers consistent improvement to a range of existing SOTA methods on the c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17129","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/2311.17129/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":"2311.17129","created_at":"2026-07-05T07:17:57.928016+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.17129v1","created_at":"2026-07-05T07:17:57.928016+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17129","created_at":"2026-07-05T07:17:57.928016+00:00"},{"alias_kind":"pith_short_12","alias_value":"DIG7MW5QVALR","created_at":"2026-07-05T07:17:57.928016+00:00"},{"alias_kind":"pith_short_16","alias_value":"DIG7MW5QVALR2EVI","created_at":"2026-07-05T07:17:57.928016+00:00"},{"alias_kind":"pith_short_8","alias_value":"DIG7MW5Q","created_at":"2026-07-05T07:17:57.928016+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/DIG7MW5QVALR2EVINJAZQXULUT","json":"https://pith.science/pith/DIG7MW5QVALR2EVINJAZQXULUT.json","graph_json":"https://pith.science/api/pith-number/DIG7MW5QVALR2EVINJAZQXULUT/graph.json","events_json":"https://pith.science/api/pith-number/DIG7MW5QVALR2EVINJAZQXULUT/events.json","paper":"https://pith.science/paper/DIG7MW5Q"},"agent_actions":{"view_html":"https://pith.science/pith/DIG7MW5QVALR2EVINJAZQXULUT","download_json":"https://pith.science/pith/DIG7MW5QVALR2EVINJAZQXULUT.json","view_paper":"https://pith.science/paper/DIG7MW5Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.17129&json=true","fetch_graph":"https://pith.science/api/pith-number/DIG7MW5QVALR2EVINJAZQXULUT/graph.json","fetch_events":"https://pith.science/api/pith-number/DIG7MW5QVALR2EVINJAZQXULUT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DIG7MW5QVALR2EVINJAZQXULUT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DIG7MW5QVALR2EVINJAZQXULUT/action/storage_attestation","attest_author":"https://pith.science/pith/DIG7MW5QVALR2EVINJAZQXULUT/action/author_attestation","sign_citation":"https://pith.science/pith/DIG7MW5QVALR2EVINJAZQXULUT/action/citation_signature","submit_replication":"https://pith.science/pith/DIG7MW5QVALR2EVINJAZQXULUT/action/replication_record"}},"created_at":"2026-07-05T07:17:57.928016+00:00","updated_at":"2026-07-05T07:17:57.928016+00:00"}