{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GKGRRIRE6WS6EWSEDRPBOHT23N","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":"687b4fe77b623bbccbc9d6b55c98a215a8f17bf979fc93c318c93c093d135f04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-12T23:54:35Z","title_canon_sha256":"3333fa8f12ace0a829acd5e3160bebb0ff8f557b7a775520ff5d57ea7b7cd71e"},"schema_version":"1.0","source":{"id":"1908.04441","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.04441","created_at":"2026-07-04T23:55:13Z"},{"alias_kind":"arxiv_version","alias_value":"1908.04441v1","created_at":"2026-07-04T23:55:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.04441","created_at":"2026-07-04T23:55:13Z"},{"alias_kind":"pith_short_12","alias_value":"GKGRRIRE6WS6","created_at":"2026-07-04T23:55:13Z"},{"alias_kind":"pith_short_16","alias_value":"GKGRRIRE6WS6EWSE","created_at":"2026-07-04T23:55:13Z"},{"alias_kind":"pith_short_8","alias_value":"GKGRRIRE","created_at":"2026-07-04T23:55:13Z"}],"graph_snapshots":[{"event_id":"sha256:7bccf832c05d4b5ebd179a911eff4eb14b5370c193c582d574b870501500cafa","target":"graph","created_at":"2026-07-04T23:55:13Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1908.04441/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"RGB-Thermal object tracking attempt to locate target object using complementary visual and thermal infrared data. Existing RGB-T trackers fuse different modalities by robust feature representation learning or adaptive modal weighting. However, how to integrate dual attention mechanism for visual tracking is still a subject that has not been studied yet. In this paper, we propose two visual attention mechanisms for robust RGB-T object tracking. Specifically, the local attention is implemented by exploiting the common visual attention of RGB and thermal data to train deep classifiers. We also in","authors_text":"Chenglong Li, Jin Tang, Rui Yang, Xiao Wang, Yabin Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-12T23:54:35Z","title":"Learning Target-oriented Dual Attention for Robust RGB-T Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.04441","kind":"arxiv","version":1},"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:fb3cb7ad08287967ca6e57a85c3fa0e143c1820e94457410144728a55dbd7a50","target":"record","created_at":"2026-07-04T23:55:13Z","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":"687b4fe77b623bbccbc9d6b55c98a215a8f17bf979fc93c318c93c093d135f04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-12T23:54:35Z","title_canon_sha256":"3333fa8f12ace0a829acd5e3160bebb0ff8f557b7a775520ff5d57ea7b7cd71e"},"schema_version":"1.0","source":{"id":"1908.04441","kind":"arxiv","version":1}},"canonical_sha256":"328d18a224f5a5e25a441c5e171e7adb7330b10d3a0420b6a3bcdd508de2bb75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"328d18a224f5a5e25a441c5e171e7adb7330b10d3a0420b6a3bcdd508de2bb75","first_computed_at":"2026-07-04T23:55:13.839398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:55:13.839398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+9aQ9iLFFb6yEWCGmko20zoMyytiwg+vIvtLlQU9oGpIKAV+U4uo1Rl7kov4qOlqEXDD35AH2CYORbwQ8Rd8Bw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:55:13.839766Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.04441","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb3cb7ad08287967ca6e57a85c3fa0e143c1820e94457410144728a55dbd7a50","sha256:7bccf832c05d4b5ebd179a911eff4eb14b5370c193c582d574b870501500cafa"],"state_sha256":"78da6049f75fc0f1f38f6e6bbfd9a63b4e49f2834fa8f84d1c239d9c521a4384"}