{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:ROF4T55QNZDNWPEI4TPSIAFL3I","short_pith_number":"pith:ROF4T55Q","schema_version":"1.0","canonical_sha256":"8b8bc9f7b06e46db3c88e4df2400abda1f57c0ee23601ac32c636a6d95098014","source":{"kind":"arxiv","id":"1806.03361","version":1},"attestation_state":"computed","paper":{"title":"A Content-Based Late Fusion Approach Applied to Pedestrian Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Artur Jordao, Jessica Sena, William Robson Schwartz","submitted_at":"2018-06-08T21:35:09Z","abstract_excerpt":"The variety of pedestrians detectors proposed in recent years has encouraged some works to fuse pedestrian detectors to achieve a more accurate detection. The intuition behind is to combine the detectors based on its spatial consensus. We propose a novel method called Content-Based Spatial Consensus (CSBC), which, in addition to relying on spatial consensus, considers the content of the detection windows to learn a weighted-fusion of pedestrian detectors. The result is a reduction in false alarms and an enhancement in the detection. In this work, we also demonstrate that there is small influen"},"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":"1806.03361","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-08T21:35:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"af6d2c0ff672fa652a0471203515527b6e6262eb44607a7bf18d1ba34d412942","abstract_canon_sha256":"a56d7cdcf78bc8f3cfaf3143048478ea8e238ef7adaf4f4608cd00a769344b9d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:43.620084Z","signature_b64":"lEM+vRmisUgrMZRJERzPnW2/WuINy8C4DwI0q6JhpfHQLTkmYaiNfD+jeM0T8Mm3WjGitI37wXEgFWVsnfpNAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b8bc9f7b06e46db3c88e4df2400abda1f57c0ee23601ac32c636a6d95098014","last_reissued_at":"2026-05-18T00:13:43.619390Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:43.619390Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Content-Based Late Fusion Approach Applied to Pedestrian Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Artur Jordao, Jessica Sena, William Robson Schwartz","submitted_at":"2018-06-08T21:35:09Z","abstract_excerpt":"The variety of pedestrians detectors proposed in recent years has encouraged some works to fuse pedestrian detectors to achieve a more accurate detection. The intuition behind is to combine the detectors based on its spatial consensus. We propose a novel method called Content-Based Spatial Consensus (CSBC), which, in addition to relying on spatial consensus, considers the content of the detection windows to learn a weighted-fusion of pedestrian detectors. The result is a reduction in false alarms and an enhancement in the detection. In this work, we also demonstrate that there is small influen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.03361","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":""},"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":"1806.03361","created_at":"2026-05-18T00:13:43.619480+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.03361v1","created_at":"2026-05-18T00:13:43.619480+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.03361","created_at":"2026-05-18T00:13:43.619480+00:00"},{"alias_kind":"pith_short_12","alias_value":"ROF4T55QNZDN","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_16","alias_value":"ROF4T55QNZDNWPEI","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_8","alias_value":"ROF4T55Q","created_at":"2026-05-18T12:32:50.500415+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/ROF4T55QNZDNWPEI4TPSIAFL3I","json":"https://pith.science/pith/ROF4T55QNZDNWPEI4TPSIAFL3I.json","graph_json":"https://pith.science/api/pith-number/ROF4T55QNZDNWPEI4TPSIAFL3I/graph.json","events_json":"https://pith.science/api/pith-number/ROF4T55QNZDNWPEI4TPSIAFL3I/events.json","paper":"https://pith.science/paper/ROF4T55Q"},"agent_actions":{"view_html":"https://pith.science/pith/ROF4T55QNZDNWPEI4TPSIAFL3I","download_json":"https://pith.science/pith/ROF4T55QNZDNWPEI4TPSIAFL3I.json","view_paper":"https://pith.science/paper/ROF4T55Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.03361&json=true","fetch_graph":"https://pith.science/api/pith-number/ROF4T55QNZDNWPEI4TPSIAFL3I/graph.json","fetch_events":"https://pith.science/api/pith-number/ROF4T55QNZDNWPEI4TPSIAFL3I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ROF4T55QNZDNWPEI4TPSIAFL3I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ROF4T55QNZDNWPEI4TPSIAFL3I/action/storage_attestation","attest_author":"https://pith.science/pith/ROF4T55QNZDNWPEI4TPSIAFL3I/action/author_attestation","sign_citation":"https://pith.science/pith/ROF4T55QNZDNWPEI4TPSIAFL3I/action/citation_signature","submit_replication":"https://pith.science/pith/ROF4T55QNZDNWPEI4TPSIAFL3I/action/replication_record"}},"created_at":"2026-05-18T00:13:43.619480+00:00","updated_at":"2026-05-18T00:13:43.619480+00:00"}