{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ZZCSFLMRKXHUZQENONP4BYPOKX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9eaaa084f61181dcd87775cfed0951bddbd4a016fb13d226d85994fd6637d72e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-17T19:04:39Z","title_canon_sha256":"bd5d02189407f29a02bb4a50a73e8fc4891e3d11464d96f38cc034543a13e68c"},"schema_version":"1.0","source":{"id":"1710.01216","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.01216","created_at":"2026-05-18T00:21:34Z"},{"alias_kind":"arxiv_version","alias_value":"1710.01216v2","created_at":"2026-05-18T00:21:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.01216","created_at":"2026-05-18T00:21:34Z"},{"alias_kind":"pith_short_12","alias_value":"ZZCSFLMRKXHU","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZZCSFLMRKXHUZQEN","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZZCSFLMR","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:a371b9704b4127b9aea95fcc47423430b941c968dc56bbc1baff1a3149cbf52d","target":"graph","created_at":"2026-05-18T00:21:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We describe our approach towards building an efficient predictive model to detect emotions for a group of people in an image. We have proposed that training a Convolutional Neural Network (CNN) model on the emotion heatmaps extracted from the image, outperforms a CNN model trained entirely on the raw images. The comparison of the models have been done on a recently published dataset of Emotion Recognition in the Wild (EmotiW) challenge, 2017. The proposed method achieved validation accuracy of 55.23% which is 2.44% above the baseline accuracy, provided by the EmotiW organizers.","authors_text":"Bhanu Pratap Singh Rawat, Manya Wadhwa, Saqib Shamsi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-17T19:04:39Z","title":"Group Affect Prediction Using Multimodal Distributions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.01216","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:466c9d678be685a46aa9b133c04ef06fe2bcabe9a22b74a2244969dfa7e08aae","target":"record","created_at":"2026-05-18T00:21:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9eaaa084f61181dcd87775cfed0951bddbd4a016fb13d226d85994fd6637d72e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-17T19:04:39Z","title_canon_sha256":"bd5d02189407f29a02bb4a50a73e8fc4891e3d11464d96f38cc034543a13e68c"},"schema_version":"1.0","source":{"id":"1710.01216","kind":"arxiv","version":2}},"canonical_sha256":"ce4522ad9155cf4cc08d735fc0e1ee55f1d0c9bb44998ffc93b8c9974b45e40d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce4522ad9155cf4cc08d735fc0e1ee55f1d0c9bb44998ffc93b8c9974b45e40d","first_computed_at":"2026-05-18T00:21:34.650027Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:21:34.650027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9eRbpZOLEwASPuR0oE5U4OYGYR1T1FvMOSohFqdW6N2FKtQoSbLP+zYVdgkQrMyrM0YAM7tMWuEfCtiRB6sTBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:21:34.650741Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.01216","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:466c9d678be685a46aa9b133c04ef06fe2bcabe9a22b74a2244969dfa7e08aae","sha256:a371b9704b4127b9aea95fcc47423430b941c968dc56bbc1baff1a3149cbf52d"],"state_sha256":"da0e7b6de07116d30aed8ace70b7ab211a4d6cf28e55e5adff9e6a539f07d2ad"}