{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:7CBNMB5BUMS2A5B6B2S5BQJS3F","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":"793033e096277e6803ab394b0aa2732dabf58c20f702883470c7b55d8ec00725","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-03-08T11:42:36Z","title_canon_sha256":"f429c30a06289e9a4d1d5e52bd8dfdea171ad13f430daeac0e377e4c9d29815b"},"schema_version":"1.0","source":{"id":"2003.03766","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.03766","created_at":"2026-07-05T00:46:36Z"},{"alias_kind":"arxiv_version","alias_value":"2003.03766v1","created_at":"2026-07-05T00:46:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.03766","created_at":"2026-07-05T00:46:36Z"},{"alias_kind":"pith_short_12","alias_value":"7CBNMB5BUMS2","created_at":"2026-07-05T00:46:36Z"},{"alias_kind":"pith_short_16","alias_value":"7CBNMB5BUMS2A5B6","created_at":"2026-07-05T00:46:36Z"},{"alias_kind":"pith_short_8","alias_value":"7CBNMB5B","created_at":"2026-07-05T00:46:36Z"}],"graph_snapshots":[{"event_id":"sha256:f5b242ebacf1a010d834cb823ad0c69dd0fc0a64ec5bba5710d586231be7a357","target":"graph","created_at":"2026-07-05T00:46:36Z","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/2003.03766/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing deep learning based visual servoing approaches regress the relative camera pose between a pair of images. Therefore, they require a huge amount of training data and sometimes fine-tuning for adaptation to a novel scene. Furthermore, current approaches do not consider underlying geometry of the scene and rely on direct estimation of camera pose. Thus, inaccuracies in prediction of the camera pose, especially for distant goals, lead to a degradation in the servoing performance. In this paper, we propose a two-fold solution: (i) We consider optical flow as our visual features, which are ","authors_text":"Ayush Gaud, Harit Pandya, K. Madhava Krishna, Sai Shankar, Shreya Terupally, Y V S Harish","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-03-08T11:42:36Z","title":"DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.03766","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":"sha256:7a4b7c1d425d0b5b349c99e8c0859cb45ed1f59b8c4db8439c5041854fb899cc","target":"record","created_at":"2026-07-05T00:46:36Z","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":"793033e096277e6803ab394b0aa2732dabf58c20f702883470c7b55d8ec00725","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-03-08T11:42:36Z","title_canon_sha256":"f429c30a06289e9a4d1d5e52bd8dfdea171ad13f430daeac0e377e4c9d29815b"},"schema_version":"1.0","source":{"id":"2003.03766","kind":"arxiv","version":1}},"canonical_sha256":"f882d607a1a325a0743e0ea5d0c132d959df61a8ad890d9cc070b65648b82ef4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f882d607a1a325a0743e0ea5d0c132d959df61a8ad890d9cc070b65648b82ef4","first_computed_at":"2026-07-05T00:46:36.724964Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:46:36.724964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0sITJzurD6lavUOm6Z04Ip5Vz6u15yaQ/1R+gNVZfOouiFD5SHGQrHTmtK3ZrhHKqS9G/wP7PmzjjzUD0e5yAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:46:36.725380Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.03766","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a4b7c1d425d0b5b349c99e8c0859cb45ed1f59b8c4db8439c5041854fb899cc","sha256:f5b242ebacf1a010d834cb823ad0c69dd0fc0a64ec5bba5710d586231be7a357"],"state_sha256":"2524e70512db30c0be6aefb6d13ddca1f07925b9757b343bb28b2c3140f6bd62"}