{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:LD2XQTADEU22J3XJFW7SV2F3QH","short_pith_number":"pith:LD2XQTAD","schema_version":"1.0","canonical_sha256":"58f5784c032535a4eee92dbf2ae8bb81d83066f7011287c96109fd0e2f900b6c","source":{"kind":"arxiv","id":"2307.09662","version":2},"attestation_state":"computed","paper":{"title":"Object-aware Gaze Target Detection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cigdem Beyan, Elisa Ricci, Francesco Tonini, Nicola Dall'Asen","submitted_at":"2023-07-18T22:04:41Z","abstract_excerpt":"Gaze target detection aims to predict the image location where the person is looking and the probability that a gaze is out of the scene. Several works have tackled this task by regressing a gaze heatmap centered on the gaze location, however, they overlooked decoding the relationship between the people and the gazed objects. This paper proposes a Transformer-based architecture that automatically detects objects (including heads) in the scene to build associations between every head and the gazed-head/object, resulting in a comprehensive, explainable gaze analysis composed of: gaze target area"},"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":"2307.09662","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-18T22:04:41Z","cross_cats_sorted":[],"title_canon_sha256":"3ee95b8881c34db8bb37e351bd103cd062823d2ab6656b357c6fe1661140a399","abstract_canon_sha256":"45eeec17599058d752982e276c96c77e47dfdd4e03fe110c4bfc2fcf1bda0b92"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:54:54.739593Z","signature_b64":"0Gw1FQl9Jvx8lG284YVIhjPSDqrmWiQNVkgAbBCYVe/9DaJ39YMNtHmgj/QSsDSSEjOrcfvOOnSQsVRsPWlNAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58f5784c032535a4eee92dbf2ae8bb81d83066f7011287c96109fd0e2f900b6c","last_reissued_at":"2026-07-05T06:54:54.739162Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:54:54.739162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Object-aware Gaze Target Detection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cigdem Beyan, Elisa Ricci, Francesco Tonini, Nicola Dall'Asen","submitted_at":"2023-07-18T22:04:41Z","abstract_excerpt":"Gaze target detection aims to predict the image location where the person is looking and the probability that a gaze is out of the scene. Several works have tackled this task by regressing a gaze heatmap centered on the gaze location, however, they overlooked decoding the relationship between the people and the gazed objects. This paper proposes a Transformer-based architecture that automatically detects objects (including heads) in the scene to build associations between every head and the gazed-head/object, resulting in a comprehensive, explainable gaze analysis composed of: gaze target area"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09662","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/2307.09662/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":"2307.09662","created_at":"2026-07-05T06:54:54.739224+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.09662v2","created_at":"2026-07-05T06:54:54.739224+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09662","created_at":"2026-07-05T06:54:54.739224+00:00"},{"alias_kind":"pith_short_12","alias_value":"LD2XQTADEU22","created_at":"2026-07-05T06:54:54.739224+00:00"},{"alias_kind":"pith_short_16","alias_value":"LD2XQTADEU22J3XJ","created_at":"2026-07-05T06:54:54.739224+00:00"},{"alias_kind":"pith_short_8","alias_value":"LD2XQTAD","created_at":"2026-07-05T06:54:54.739224+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/LD2XQTADEU22J3XJFW7SV2F3QH","json":"https://pith.science/pith/LD2XQTADEU22J3XJFW7SV2F3QH.json","graph_json":"https://pith.science/api/pith-number/LD2XQTADEU22J3XJFW7SV2F3QH/graph.json","events_json":"https://pith.science/api/pith-number/LD2XQTADEU22J3XJFW7SV2F3QH/events.json","paper":"https://pith.science/paper/LD2XQTAD"},"agent_actions":{"view_html":"https://pith.science/pith/LD2XQTADEU22J3XJFW7SV2F3QH","download_json":"https://pith.science/pith/LD2XQTADEU22J3XJFW7SV2F3QH.json","view_paper":"https://pith.science/paper/LD2XQTAD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.09662&json=true","fetch_graph":"https://pith.science/api/pith-number/LD2XQTADEU22J3XJFW7SV2F3QH/graph.json","fetch_events":"https://pith.science/api/pith-number/LD2XQTADEU22J3XJFW7SV2F3QH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LD2XQTADEU22J3XJFW7SV2F3QH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LD2XQTADEU22J3XJFW7SV2F3QH/action/storage_attestation","attest_author":"https://pith.science/pith/LD2XQTADEU22J3XJFW7SV2F3QH/action/author_attestation","sign_citation":"https://pith.science/pith/LD2XQTADEU22J3XJFW7SV2F3QH/action/citation_signature","submit_replication":"https://pith.science/pith/LD2XQTADEU22J3XJFW7SV2F3QH/action/replication_record"}},"created_at":"2026-07-05T06:54:54.739224+00:00","updated_at":"2026-07-05T06:54:54.739224+00:00"}