{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:6UD7UWRWBQE2B42SIWMO7Z54HB","short_pith_number":"pith:6UD7UWRW","schema_version":"1.0","canonical_sha256":"f507fa5a360c09a0f3524598efe7bc38601ecee41f7ca64921232a03c3dfa8b3","source":{"kind":"arxiv","id":"2403.20318","version":1},"attestation_state":"computed","paper":{"title":"SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Abhinav Kumar, Liu Ren, Xiaoming Liu, Xinyu Huang, Yuliang Guo","submitted_at":"2024-03-29T17:41:57Z","abstract_excerpt":"Monocular 3D detectors achieve remarkable performance on cars and smaller objects. However, their performance drops on larger objects, leading to fatal accidents. Some attribute the failures to training data scarcity or their receptive field requirements of large objects. In this paper, we highlight this understudied problem of generalization to large objects. We find that modern frontal detectors struggle to generalize to large objects even on nearly balanced datasets. We argue that the cause of failure is the sensitivity of depth regression losses to noise of larger objects. To bridge this g"},"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":"2403.20318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-29T17:41:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"569cb1e68b3dc2e13e5a14b7e84cd8b1a21f01c77f45c4e31a0f5ae087a60ce7","abstract_canon_sha256":"b967e082e4698cbe5e6de2ba04aa9b1bbd1d5cf0e40f8e6a51a402b94594d626"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:02:17.591076Z","signature_b64":"1NzS9W4iweRP+K5NitM3PYcqeygv6TKDp4nz1ssZBtZazElz7YmdMapXuzXh6nTuFErcZ0zOvjFub9QHEUm2CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f507fa5a360c09a0f3524598efe7bc38601ecee41f7ca64921232a03c3dfa8b3","last_reissued_at":"2026-07-05T08:02:17.590588Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:02:17.590588Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Abhinav Kumar, Liu Ren, Xiaoming Liu, Xinyu Huang, Yuliang Guo","submitted_at":"2024-03-29T17:41:57Z","abstract_excerpt":"Monocular 3D detectors achieve remarkable performance on cars and smaller objects. However, their performance drops on larger objects, leading to fatal accidents. Some attribute the failures to training data scarcity or their receptive field requirements of large objects. In this paper, we highlight this understudied problem of generalization to large objects. We find that modern frontal detectors struggle to generalize to large objects even on nearly balanced datasets. We argue that the cause of failure is the sensitivity of depth regression losses to noise of larger objects. To bridge this g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.20318","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/2403.20318/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":"2403.20318","created_at":"2026-07-05T08:02:17.590656+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.20318v1","created_at":"2026-07-05T08:02:17.590656+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.20318","created_at":"2026-07-05T08:02:17.590656+00:00"},{"alias_kind":"pith_short_12","alias_value":"6UD7UWRWBQE2","created_at":"2026-07-05T08:02:17.590656+00:00"},{"alias_kind":"pith_short_16","alias_value":"6UD7UWRWBQE2B42S","created_at":"2026-07-05T08:02:17.590656+00:00"},{"alias_kind":"pith_short_8","alias_value":"6UD7UWRW","created_at":"2026-07-05T08:02:17.590656+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/6UD7UWRWBQE2B42SIWMO7Z54HB","json":"https://pith.science/pith/6UD7UWRWBQE2B42SIWMO7Z54HB.json","graph_json":"https://pith.science/api/pith-number/6UD7UWRWBQE2B42SIWMO7Z54HB/graph.json","events_json":"https://pith.science/api/pith-number/6UD7UWRWBQE2B42SIWMO7Z54HB/events.json","paper":"https://pith.science/paper/6UD7UWRW"},"agent_actions":{"view_html":"https://pith.science/pith/6UD7UWRWBQE2B42SIWMO7Z54HB","download_json":"https://pith.science/pith/6UD7UWRWBQE2B42SIWMO7Z54HB.json","view_paper":"https://pith.science/paper/6UD7UWRW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.20318&json=true","fetch_graph":"https://pith.science/api/pith-number/6UD7UWRWBQE2B42SIWMO7Z54HB/graph.json","fetch_events":"https://pith.science/api/pith-number/6UD7UWRWBQE2B42SIWMO7Z54HB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6UD7UWRWBQE2B42SIWMO7Z54HB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6UD7UWRWBQE2B42SIWMO7Z54HB/action/storage_attestation","attest_author":"https://pith.science/pith/6UD7UWRWBQE2B42SIWMO7Z54HB/action/author_attestation","sign_citation":"https://pith.science/pith/6UD7UWRWBQE2B42SIWMO7Z54HB/action/citation_signature","submit_replication":"https://pith.science/pith/6UD7UWRWBQE2B42SIWMO7Z54HB/action/replication_record"}},"created_at":"2026-07-05T08:02:17.590656+00:00","updated_at":"2026-07-05T08:02:17.590656+00:00"}