{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:AAGE5H5RDIJYRS4O3TRUWS4FOD","short_pith_number":"pith:AAGE5H5R","schema_version":"1.0","canonical_sha256":"000c4e9fb11a1388cb8edce34b4b8570fc6e67e1ae1439f15e80e4730b7d5b29","source":{"kind":"arxiv","id":"2012.00779","version":2},"attestation_state":"computed","paper":{"title":"Dynamic Feature Pyramid Networks for Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changbin Yu, Kai Han, Mingjian Zhu, Yunhe Wang","submitted_at":"2020-12-01T19:03:55Z","abstract_excerpt":"Feature pyramid network (FPN) is a critical component in modern object detection frameworks. The performance gain in most of the existing FPN variants is mainly attributed to the increase of computational burden. An attempt to enhance the FPN is enriching the spatial information by expanding the receptive fields, which is promising to largely improve the detection accuracy. In this paper, we first investigate how expanding the receptive fields affect the accuracy and computational costs of FPN. We explore a baseline model called inception FPN in which each lateral connection contains convoluti"},"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":"2012.00779","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-01T19:03:55Z","cross_cats_sorted":[],"title_canon_sha256":"963795b2fd5be2a8ed3f87e26d45fb1e0f3d5b75cb6425488422004f1bc32487","abstract_canon_sha256":"0fd3f66fbdbad763bcc2500c308a8ef6c8a8fe322ed531e7dff5fdc2858741b9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:54:39.223916Z","signature_b64":"PkTOL23wtBN42qp9b8ZDbQODKD/tVaA9AK6MYwg0IWL1m1bZOVDnr3+8F6C8tfQY7Xe5M6JM/eJOam2RA53MAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"000c4e9fb11a1388cb8edce34b4b8570fc6e67e1ae1439f15e80e4730b7d5b29","last_reissued_at":"2026-07-05T02:54:39.223513Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:54:39.223513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dynamic Feature Pyramid Networks for Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changbin Yu, Kai Han, Mingjian Zhu, Yunhe Wang","submitted_at":"2020-12-01T19:03:55Z","abstract_excerpt":"Feature pyramid network (FPN) is a critical component in modern object detection frameworks. The performance gain in most of the existing FPN variants is mainly attributed to the increase of computational burden. An attempt to enhance the FPN is enriching the spatial information by expanding the receptive fields, which is promising to largely improve the detection accuracy. In this paper, we first investigate how expanding the receptive fields affect the accuracy and computational costs of FPN. We explore a baseline model called inception FPN in which each lateral connection contains convoluti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.00779","kind":"arxiv","version":2},"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/2012.00779/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":"2012.00779","created_at":"2026-07-05T02:54:39.223568+00:00"},{"alias_kind":"arxiv_version","alias_value":"2012.00779v2","created_at":"2026-07-05T02:54:39.223568+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.00779","created_at":"2026-07-05T02:54:39.223568+00:00"},{"alias_kind":"pith_short_12","alias_value":"AAGE5H5RDIJY","created_at":"2026-07-05T02:54:39.223568+00:00"},{"alias_kind":"pith_short_16","alias_value":"AAGE5H5RDIJYRS4O","created_at":"2026-07-05T02:54:39.223568+00:00"},{"alias_kind":"pith_short_8","alias_value":"AAGE5H5R","created_at":"2026-07-05T02:54:39.223568+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/AAGE5H5RDIJYRS4O3TRUWS4FOD","json":"https://pith.science/pith/AAGE5H5RDIJYRS4O3TRUWS4FOD.json","graph_json":"https://pith.science/api/pith-number/AAGE5H5RDIJYRS4O3TRUWS4FOD/graph.json","events_json":"https://pith.science/api/pith-number/AAGE5H5RDIJYRS4O3TRUWS4FOD/events.json","paper":"https://pith.science/paper/AAGE5H5R"},"agent_actions":{"view_html":"https://pith.science/pith/AAGE5H5RDIJYRS4O3TRUWS4FOD","download_json":"https://pith.science/pith/AAGE5H5RDIJYRS4O3TRUWS4FOD.json","view_paper":"https://pith.science/paper/AAGE5H5R","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2012.00779&json=true","fetch_graph":"https://pith.science/api/pith-number/AAGE5H5RDIJYRS4O3TRUWS4FOD/graph.json","fetch_events":"https://pith.science/api/pith-number/AAGE5H5RDIJYRS4O3TRUWS4FOD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AAGE5H5RDIJYRS4O3TRUWS4FOD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AAGE5H5RDIJYRS4O3TRUWS4FOD/action/storage_attestation","attest_author":"https://pith.science/pith/AAGE5H5RDIJYRS4O3TRUWS4FOD/action/author_attestation","sign_citation":"https://pith.science/pith/AAGE5H5RDIJYRS4O3TRUWS4FOD/action/citation_signature","submit_replication":"https://pith.science/pith/AAGE5H5RDIJYRS4O3TRUWS4FOD/action/replication_record"}},"created_at":"2026-07-05T02:54:39.223568+00:00","updated_at":"2026-07-05T02:54:39.223568+00:00"}