{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:O3DXTSPFL6247RQTVRF35SGOKG","short_pith_number":"pith:O3DXTSPF","schema_version":"1.0","canonical_sha256":"76c779c9e55fb5cfc613ac4bbec8ce518615211df6591cacd2909094c315b047","source":{"kind":"arxiv","id":"2506.00625","version":1},"attestation_state":"computed","paper":{"title":"Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hui Huang, Mengke Li, Weichao Lan, Yang Lu, Yiu-ming Cheung, Zhikai Hu","submitted_at":"2025-05-31T16:31:43Z","abstract_excerpt":"The imbalanced distribution of long-tailed data presents a significant challenge for deep learning models, causing them to prioritize head classes while neglecting tail classes. Two key factors contributing to low recognition accuracy are the deformed representation space and a biased classifier, stemming from insufficient semantic information in tail classes. To address these issues, we propose permutation-invariant and head-to-tail feature fusion (PI-H2T), a highly adaptable method. PI-H2T enhances the representation space through permutation-invariant representation fusion (PIF), yielding m"},"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":"2506.00625","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-31T16:31:43Z","cross_cats_sorted":[],"title_canon_sha256":"c1f65462cd979fcea940ddc3638bac4607d5c73c859a944ac610c77ab3619e6d","abstract_canon_sha256":"b76062c6ca298b426c1723c043bdf222602c414204dc8138db2f4ea31098459d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:37.831671Z","signature_b64":"/ONiGJY1mP2w02IagtmewfNxmcIARALD6utjgCTPFl/d9pAdFRZvTa/2vI9tdxeZy9byIPdxd2TtMh/BTd8DBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76c779c9e55fb5cfc613ac4bbec8ce518615211df6591cacd2909094c315b047","last_reissued_at":"2026-07-05T11:13:37.831185Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:37.831185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hui Huang, Mengke Li, Weichao Lan, Yang Lu, Yiu-ming Cheung, Zhikai Hu","submitted_at":"2025-05-31T16:31:43Z","abstract_excerpt":"The imbalanced distribution of long-tailed data presents a significant challenge for deep learning models, causing them to prioritize head classes while neglecting tail classes. Two key factors contributing to low recognition accuracy are the deformed representation space and a biased classifier, stemming from insufficient semantic information in tail classes. To address these issues, we propose permutation-invariant and head-to-tail feature fusion (PI-H2T), a highly adaptable method. PI-H2T enhances the representation space through permutation-invariant representation fusion (PIF), yielding m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00625","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/2506.00625/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":"2506.00625","created_at":"2026-07-05T11:13:37.831240+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.00625v1","created_at":"2026-07-05T11:13:37.831240+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00625","created_at":"2026-07-05T11:13:37.831240+00:00"},{"alias_kind":"pith_short_12","alias_value":"O3DXTSPFL624","created_at":"2026-07-05T11:13:37.831240+00:00"},{"alias_kind":"pith_short_16","alias_value":"O3DXTSPFL6247RQT","created_at":"2026-07-05T11:13:37.831240+00:00"},{"alias_kind":"pith_short_8","alias_value":"O3DXTSPF","created_at":"2026-07-05T11:13:37.831240+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/O3DXTSPFL6247RQTVRF35SGOKG","json":"https://pith.science/pith/O3DXTSPFL6247RQTVRF35SGOKG.json","graph_json":"https://pith.science/api/pith-number/O3DXTSPFL6247RQTVRF35SGOKG/graph.json","events_json":"https://pith.science/api/pith-number/O3DXTSPFL6247RQTVRF35SGOKG/events.json","paper":"https://pith.science/paper/O3DXTSPF"},"agent_actions":{"view_html":"https://pith.science/pith/O3DXTSPFL6247RQTVRF35SGOKG","download_json":"https://pith.science/pith/O3DXTSPFL6247RQTVRF35SGOKG.json","view_paper":"https://pith.science/paper/O3DXTSPF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.00625&json=true","fetch_graph":"https://pith.science/api/pith-number/O3DXTSPFL6247RQTVRF35SGOKG/graph.json","fetch_events":"https://pith.science/api/pith-number/O3DXTSPFL6247RQTVRF35SGOKG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O3DXTSPFL6247RQTVRF35SGOKG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O3DXTSPFL6247RQTVRF35SGOKG/action/storage_attestation","attest_author":"https://pith.science/pith/O3DXTSPFL6247RQTVRF35SGOKG/action/author_attestation","sign_citation":"https://pith.science/pith/O3DXTSPFL6247RQTVRF35SGOKG/action/citation_signature","submit_replication":"https://pith.science/pith/O3DXTSPFL6247RQTVRF35SGOKG/action/replication_record"}},"created_at":"2026-07-05T11:13:37.831240+00:00","updated_at":"2026-07-05T11:13:37.831240+00:00"}