{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:TC4YY4A5GWLJRXOBD4HZQTFNS6","short_pith_number":"pith:TC4YY4A5","schema_version":"1.0","canonical_sha256":"98b98c701d359698ddc11f0f984cad97a5598ffc569b0d3e5c55bae1818025d5","source":{"kind":"arxiv","id":"2005.10984","version":1},"attestation_state":"computed","paper":{"title":"RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Donggen Dai, Wangkit Wong, Zhuojun Chen","submitted_at":"2020-05-22T03:27:30Z","abstract_excerpt":"We address the challenging problem of RGB image-based head pose estimation. We first reformulate head pose representation learning to constrain it to a bounded space. Head pose represented as vector projection or vector angles shows helpful to improving performance. Further, a ranking loss combined with MSE regression loss is proposed. The ranking loss supervises a neural network with paired samples of the same person and penalises incorrect ordering of pose prediction. Analysis on this new loss function suggests it contributes to a better local feature extractor, where features are generalise"},"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":"2005.10984","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-22T03:27:30Z","cross_cats_sorted":[],"title_canon_sha256":"6480218fa8ded2d59c34db5493f100fe052f59fb139290c2e5f51f8646c1eec2","abstract_canon_sha256":"e17c65b8cded373c1af7e8c65d1602b6a98098b6ea7d170436711bd90daac1f5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:05:04.250933Z","signature_b64":"8PDmTXQ1PeEQO+4I8cAI7QkcGoIlsfO5SuD4wqtlVfaBJsg5zsDldp7irwf557AaWyH68uGiRq+ZfstSCw/zBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98b98c701d359698ddc11f0f984cad97a5598ffc569b0d3e5c55bae1818025d5","last_reissued_at":"2026-07-05T01:05:04.250532Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:05:04.250532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Donggen Dai, Wangkit Wong, Zhuojun Chen","submitted_at":"2020-05-22T03:27:30Z","abstract_excerpt":"We address the challenging problem of RGB image-based head pose estimation. We first reformulate head pose representation learning to constrain it to a bounded space. Head pose represented as vector projection or vector angles shows helpful to improving performance. Further, a ranking loss combined with MSE regression loss is proposed. The ranking loss supervises a neural network with paired samples of the same person and penalises incorrect ordering of pose prediction. Analysis on this new loss function suggests it contributes to a better local feature extractor, where features are generalise"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.10984","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/2005.10984/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":"2005.10984","created_at":"2026-07-05T01:05:04.250585+00:00"},{"alias_kind":"arxiv_version","alias_value":"2005.10984v1","created_at":"2026-07-05T01:05:04.250585+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.10984","created_at":"2026-07-05T01:05:04.250585+00:00"},{"alias_kind":"pith_short_12","alias_value":"TC4YY4A5GWLJ","created_at":"2026-07-05T01:05:04.250585+00:00"},{"alias_kind":"pith_short_16","alias_value":"TC4YY4A5GWLJRXOB","created_at":"2026-07-05T01:05:04.250585+00:00"},{"alias_kind":"pith_short_8","alias_value":"TC4YY4A5","created_at":"2026-07-05T01:05:04.250585+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.24122","citing_title":"Bengal-HP_RU: A Dataset of Bengal People For Head Pose Estimation","ref_index":106,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6","json":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6.json","graph_json":"https://pith.science/api/pith-number/TC4YY4A5GWLJRXOBD4HZQTFNS6/graph.json","events_json":"https://pith.science/api/pith-number/TC4YY4A5GWLJRXOBD4HZQTFNS6/events.json","paper":"https://pith.science/paper/TC4YY4A5"},"agent_actions":{"view_html":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6","download_json":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6.json","view_paper":"https://pith.science/paper/TC4YY4A5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2005.10984&json=true","fetch_graph":"https://pith.science/api/pith-number/TC4YY4A5GWLJRXOBD4HZQTFNS6/graph.json","fetch_events":"https://pith.science/api/pith-number/TC4YY4A5GWLJRXOBD4HZQTFNS6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6/action/storage_attestation","attest_author":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6/action/author_attestation","sign_citation":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6/action/citation_signature","submit_replication":"https://pith.science/pith/TC4YY4A5GWLJRXOBD4HZQTFNS6/action/replication_record"}},"created_at":"2026-07-05T01:05:04.250585+00:00","updated_at":"2026-07-05T01:05:04.250585+00:00"}