{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:BE6ICZSXVL6VOEHSYBO4EZLFTC","short_pith_number":"pith:BE6ICZSX","schema_version":"1.0","canonical_sha256":"093c816657aafd5710f2c05dc2656598801c476058039ab1ad18d1f5da1946b6","source":{"kind":"arxiv","id":"2103.07562","version":1},"attestation_state":"computed","paper":{"title":"Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Carol Jo Boushey, Deborah Kerr, Fengqing Zhu, Janine Wright, Jiangpeng He, Runyu Mao, Shaobo Fang, Zeman Shao","submitted_at":"2021-03-12T22:58:37Z","abstract_excerpt":"We aim to estimate food portion size, a property that is strongly related to the presence of food object in 3D space, from single monocular images under real life setting. Specifically, we are interested in end-to-end estimation of food portion size, which has great potential in the field of personal health management. Unlike image segmentation or object recognition where annotation can be obtained through large scale crowd sourcing, it is much more challenging to collect datasets for portion size estimation since human cannot accurately estimate the size of an object in an arbitrary 2D image "},"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":"2103.07562","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-12T22:58:37Z","cross_cats_sorted":[],"title_canon_sha256":"88e8b3461b3a36afef6670de1803afada327482856f999f35901050f3ce89b3a","abstract_canon_sha256":"7fdb3fb2cc6239b6019952d19d2aca97951caaa159a5292fd52a46eea81e4d13"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:22:42.601789Z","signature_b64":"a3S70+RX4V9T23E9gmPb5mHoyLfOFCQkWPzifHNwQ6WRG0/iXUdt/fUqrCSiivbHXOnKgqADTeO/nUXx3Ty1BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"093c816657aafd5710f2c05dc2656598801c476058039ab1ad18d1f5da1946b6","last_reissued_at":"2026-07-05T02:22:42.601442Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:22:42.601442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Carol Jo Boushey, Deborah Kerr, Fengqing Zhu, Janine Wright, Jiangpeng He, Runyu Mao, Shaobo Fang, Zeman Shao","submitted_at":"2021-03-12T22:58:37Z","abstract_excerpt":"We aim to estimate food portion size, a property that is strongly related to the presence of food object in 3D space, from single monocular images under real life setting. Specifically, we are interested in end-to-end estimation of food portion size, which has great potential in the field of personal health management. Unlike image segmentation or object recognition where annotation can be obtained through large scale crowd sourcing, it is much more challenging to collect datasets for portion size estimation since human cannot accurately estimate the size of an object in an arbitrary 2D image "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.07562","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/2103.07562/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":"2103.07562","created_at":"2026-07-05T02:22:42.601504+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.07562v1","created_at":"2026-07-05T02:22:42.601504+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.07562","created_at":"2026-07-05T02:22:42.601504+00:00"},{"alias_kind":"pith_short_12","alias_value":"BE6ICZSXVL6V","created_at":"2026-07-05T02:22:42.601504+00:00"},{"alias_kind":"pith_short_16","alias_value":"BE6ICZSXVL6VOEHS","created_at":"2026-07-05T02:22:42.601504+00:00"},{"alias_kind":"pith_short_8","alias_value":"BE6ICZSX","created_at":"2026-07-05T02:22:42.601504+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/BE6ICZSXVL6VOEHSYBO4EZLFTC","json":"https://pith.science/pith/BE6ICZSXVL6VOEHSYBO4EZLFTC.json","graph_json":"https://pith.science/api/pith-number/BE6ICZSXVL6VOEHSYBO4EZLFTC/graph.json","events_json":"https://pith.science/api/pith-number/BE6ICZSXVL6VOEHSYBO4EZLFTC/events.json","paper":"https://pith.science/paper/BE6ICZSX"},"agent_actions":{"view_html":"https://pith.science/pith/BE6ICZSXVL6VOEHSYBO4EZLFTC","download_json":"https://pith.science/pith/BE6ICZSXVL6VOEHSYBO4EZLFTC.json","view_paper":"https://pith.science/paper/BE6ICZSX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.07562&json=true","fetch_graph":"https://pith.science/api/pith-number/BE6ICZSXVL6VOEHSYBO4EZLFTC/graph.json","fetch_events":"https://pith.science/api/pith-number/BE6ICZSXVL6VOEHSYBO4EZLFTC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BE6ICZSXVL6VOEHSYBO4EZLFTC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BE6ICZSXVL6VOEHSYBO4EZLFTC/action/storage_attestation","attest_author":"https://pith.science/pith/BE6ICZSXVL6VOEHSYBO4EZLFTC/action/author_attestation","sign_citation":"https://pith.science/pith/BE6ICZSXVL6VOEHSYBO4EZLFTC/action/citation_signature","submit_replication":"https://pith.science/pith/BE6ICZSXVL6VOEHSYBO4EZLFTC/action/replication_record"}},"created_at":"2026-07-05T02:22:42.601504+00:00","updated_at":"2026-07-05T02:22:42.601504+00:00"}