{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:D7V6NJJ6EDZPLIEHB3VSIARRQQ","short_pith_number":"pith:D7V6NJJ6","schema_version":"1.0","canonical_sha256":"1febe6a53e20f2f5a0870eeb2402318406538d6706587a77fdac91fcefefb5cb","source":{"kind":"arxiv","id":"2002.03137","version":1},"attestation_state":"computed","paper":{"title":"Symbiotic Attention with Privileged Information for Egocentric Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Linchao Zhu, Xiaohan Wang, Yi Yang, Yu Wu","submitted_at":"2020-02-08T10:48:43Z","abstract_excerpt":"Egocentric video recognition is a natural testbed for diverse interaction reasoning. Due to the large action vocabulary in egocentric video datasets, recent studies usually utilize a two-branch structure for action recognition, ie, one branch for verb classification and the other branch for noun classification. However, correlation studies between the verb and the noun branches have been largely ignored. Besides, the two branches fail to exploit local features due to the absence of a position-aware attention mechanism. In this paper, we propose a novel Symbiotic Attention framework leveraging "},"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":"2002.03137","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-08T10:48:43Z","cross_cats_sorted":[],"title_canon_sha256":"198368a7726512c96efbf54fab264f2f61d961d366ad396e7224e245d18f4ab2","abstract_canon_sha256":"315074defcfc1ced335e4070befb7f739a3daca06aefb5efbb80aed3263c4bbd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:39:19.329804Z","signature_b64":"dcEMd2kP4KIxOzBNdXIeYoIZVOg9s+n3OTXhSqrhebgK25KJYFE5YfQKJEyOLsBSW5RFgREL9zA8Uk43XMARCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1febe6a53e20f2f5a0870eeb2402318406538d6706587a77fdac91fcefefb5cb","last_reissued_at":"2026-07-05T00:39:19.329429Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:39:19.329429Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Symbiotic Attention with Privileged Information for Egocentric Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Linchao Zhu, Xiaohan Wang, Yi Yang, Yu Wu","submitted_at":"2020-02-08T10:48:43Z","abstract_excerpt":"Egocentric video recognition is a natural testbed for diverse interaction reasoning. Due to the large action vocabulary in egocentric video datasets, recent studies usually utilize a two-branch structure for action recognition, ie, one branch for verb classification and the other branch for noun classification. However, correlation studies between the verb and the noun branches have been largely ignored. Besides, the two branches fail to exploit local features due to the absence of a position-aware attention mechanism. In this paper, we propose a novel Symbiotic Attention framework leveraging "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.03137","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/2002.03137/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":"2002.03137","created_at":"2026-07-05T00:39:19.329495+00:00"},{"alias_kind":"arxiv_version","alias_value":"2002.03137v1","created_at":"2026-07-05T00:39:19.329495+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.03137","created_at":"2026-07-05T00:39:19.329495+00:00"},{"alias_kind":"pith_short_12","alias_value":"D7V6NJJ6EDZP","created_at":"2026-07-05T00:39:19.329495+00:00"},{"alias_kind":"pith_short_16","alias_value":"D7V6NJJ6EDZPLIEH","created_at":"2026-07-05T00:39:19.329495+00:00"},{"alias_kind":"pith_short_8","alias_value":"D7V6NJJ6","created_at":"2026-07-05T00:39:19.329495+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/D7V6NJJ6EDZPLIEHB3VSIARRQQ","json":"https://pith.science/pith/D7V6NJJ6EDZPLIEHB3VSIARRQQ.json","graph_json":"https://pith.science/api/pith-number/D7V6NJJ6EDZPLIEHB3VSIARRQQ/graph.json","events_json":"https://pith.science/api/pith-number/D7V6NJJ6EDZPLIEHB3VSIARRQQ/events.json","paper":"https://pith.science/paper/D7V6NJJ6"},"agent_actions":{"view_html":"https://pith.science/pith/D7V6NJJ6EDZPLIEHB3VSIARRQQ","download_json":"https://pith.science/pith/D7V6NJJ6EDZPLIEHB3VSIARRQQ.json","view_paper":"https://pith.science/paper/D7V6NJJ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2002.03137&json=true","fetch_graph":"https://pith.science/api/pith-number/D7V6NJJ6EDZPLIEHB3VSIARRQQ/graph.json","fetch_events":"https://pith.science/api/pith-number/D7V6NJJ6EDZPLIEHB3VSIARRQQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D7V6NJJ6EDZPLIEHB3VSIARRQQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D7V6NJJ6EDZPLIEHB3VSIARRQQ/action/storage_attestation","attest_author":"https://pith.science/pith/D7V6NJJ6EDZPLIEHB3VSIARRQQ/action/author_attestation","sign_citation":"https://pith.science/pith/D7V6NJJ6EDZPLIEHB3VSIARRQQ/action/citation_signature","submit_replication":"https://pith.science/pith/D7V6NJJ6EDZPLIEHB3VSIARRQQ/action/replication_record"}},"created_at":"2026-07-05T00:39:19.329495+00:00","updated_at":"2026-07-05T00:39:19.329495+00:00"}