{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:3QARKUJTCI6MY5ESZ7FLMUW53I","short_pith_number":"pith:3QARKUJT","schema_version":"1.0","canonical_sha256":"dc01155133123ccc7492cfcab652ddda0c989b2730c8d0cb9ae6efb746165bb8","source":{"kind":"arxiv","id":"2408.00249","version":1},"attestation_state":"computed","paper":{"title":"Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Congqi Cao, Lingtong Min, Qinyi Lv, Yanning Zhang, Yating Yu, Yueran Zhang","submitted_at":"2024-08-01T03:06:56Z","abstract_excerpt":"Existing works in few-shot action recognition mostly fine-tune a pre-trained image model and design sophisticated temporal alignment modules at feature level. However, simply fully fine-tuning the pre-trained model could cause overfitting due to the scarcity of video samples. Additionally, we argue that the exploration of task-specific information is insufficient when relying solely on well extracted abstract features. In this work, we propose a simple but effective task-specific adaptation method (Task-Adapter) for few-shot action recognition. By introducing the proposed Task-Adapter into the"},"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":"2408.00249","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-01T03:06:56Z","cross_cats_sorted":[],"title_canon_sha256":"2bec0dd0c14d9928bb955951c775192812808ea0a62b0eec70e6a6dd330b7f65","abstract_canon_sha256":"aa188239fdc866350e1c0e1d52ac9117c7f9667a4966217ec0e3b996b86f12fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:51:00.476826Z","signature_b64":"zQ156hdCEqaub5XvdU1Ub2xg0TfgLfIGzi/qcY7ihxHuIJ+RlEisGlrgSDy9PH+b5Dkm8isDBPqE5Keps1N4Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc01155133123ccc7492cfcab652ddda0c989b2730c8d0cb9ae6efb746165bb8","last_reissued_at":"2026-07-05T08:51:00.476272Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:51:00.476272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Congqi Cao, Lingtong Min, Qinyi Lv, Yanning Zhang, Yating Yu, Yueran Zhang","submitted_at":"2024-08-01T03:06:56Z","abstract_excerpt":"Existing works in few-shot action recognition mostly fine-tune a pre-trained image model and design sophisticated temporal alignment modules at feature level. However, simply fully fine-tuning the pre-trained model could cause overfitting due to the scarcity of video samples. Additionally, we argue that the exploration of task-specific information is insufficient when relying solely on well extracted abstract features. In this work, we propose a simple but effective task-specific adaptation method (Task-Adapter) for few-shot action recognition. By introducing the proposed Task-Adapter into the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00249","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/2408.00249/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":"2408.00249","created_at":"2026-07-05T08:51:00.476332+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.00249v1","created_at":"2026-07-05T08:51:00.476332+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00249","created_at":"2026-07-05T08:51:00.476332+00:00"},{"alias_kind":"pith_short_12","alias_value":"3QARKUJTCI6M","created_at":"2026-07-05T08:51:00.476332+00:00"},{"alias_kind":"pith_short_16","alias_value":"3QARKUJTCI6MY5ES","created_at":"2026-07-05T08:51:00.476332+00:00"},{"alias_kind":"pith_short_8","alias_value":"3QARKUJT","created_at":"2026-07-05T08:51:00.476332+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/3QARKUJTCI6MY5ESZ7FLMUW53I","json":"https://pith.science/pith/3QARKUJTCI6MY5ESZ7FLMUW53I.json","graph_json":"https://pith.science/api/pith-number/3QARKUJTCI6MY5ESZ7FLMUW53I/graph.json","events_json":"https://pith.science/api/pith-number/3QARKUJTCI6MY5ESZ7FLMUW53I/events.json","paper":"https://pith.science/paper/3QARKUJT"},"agent_actions":{"view_html":"https://pith.science/pith/3QARKUJTCI6MY5ESZ7FLMUW53I","download_json":"https://pith.science/pith/3QARKUJTCI6MY5ESZ7FLMUW53I.json","view_paper":"https://pith.science/paper/3QARKUJT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.00249&json=true","fetch_graph":"https://pith.science/api/pith-number/3QARKUJTCI6MY5ESZ7FLMUW53I/graph.json","fetch_events":"https://pith.science/api/pith-number/3QARKUJTCI6MY5ESZ7FLMUW53I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3QARKUJTCI6MY5ESZ7FLMUW53I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3QARKUJTCI6MY5ESZ7FLMUW53I/action/storage_attestation","attest_author":"https://pith.science/pith/3QARKUJTCI6MY5ESZ7FLMUW53I/action/author_attestation","sign_citation":"https://pith.science/pith/3QARKUJTCI6MY5ESZ7FLMUW53I/action/citation_signature","submit_replication":"https://pith.science/pith/3QARKUJTCI6MY5ESZ7FLMUW53I/action/replication_record"}},"created_at":"2026-07-05T08:51:00.476332+00:00","updated_at":"2026-07-05T08:51:00.476332+00:00"}