{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:Q7DBVJ67F7G5NO47FIP3OPKT3U","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":"889c69a8441d5c9c7669ea81dffe775fef404a3fd13ee7d0d293895da14b73e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-09T13:12:21Z","title_canon_sha256":"3b8673816fb17ddbeae4e491d1daa84b841bdc17ab909da7bf87d3013dc4165f"},"schema_version":"1.0","source":{"id":"1811.08564","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.08564","created_at":"2026-05-18T00:00:12Z"},{"alias_kind":"arxiv_version","alias_value":"1811.08564v1","created_at":"2026-05-18T00:00:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08564","created_at":"2026-05-18T00:00:12Z"},{"alias_kind":"pith_short_12","alias_value":"Q7DBVJ67F7G5","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"Q7DBVJ67F7G5NO47","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"Q7DBVJ67","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:48b301ad314ebd043aa6afc470b752e3f2a9b43cf950439f535179bbaedf9885","target":"graph","created_at":"2026-05-18T00:00:12Z","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":"Most of the existing tracking methods based on CNN(convolutional neural networks) are too slow for real-time application despite the excellent tracking precision compared with the traditional ones. Moreover, neural networks are memory intensive which will take up lots of hardware resources. In this paper, a feature selection visual tracking algorithm combining CNN based MDNet(Multi-Domain Network) and RoIAlign was developed. We find that there is a lot of redundancy in feature maps from convolutional layers. So valid feature maps are selected by mutual information and others are abandoned whic","authors_text":"Na Lu, Zhiyan Cui","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-09T13:12:21Z","title":"Feature Selection Convolutional Neural Networks for Visual Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08564","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":"sha256:13fba599542d5d64ac07cddb84fedd64e42145690b99a2f2c830a968b77da72e","target":"record","created_at":"2026-05-18T00:00:12Z","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":"889c69a8441d5c9c7669ea81dffe775fef404a3fd13ee7d0d293895da14b73e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-09T13:12:21Z","title_canon_sha256":"3b8673816fb17ddbeae4e491d1daa84b841bdc17ab909da7bf87d3013dc4165f"},"schema_version":"1.0","source":{"id":"1811.08564","kind":"arxiv","version":1}},"canonical_sha256":"87c61aa7df2fcdd6bb9f2a1fb73d53dd0bbed78f68d609ab89585d96833f58cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87c61aa7df2fcdd6bb9f2a1fb73d53dd0bbed78f68d609ab89585d96833f58cb","first_computed_at":"2026-05-18T00:00:12.211077Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:12.211077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RJGBo7U1VpgIDlCTLrydohjDJRHF7fDwELLgMpIEu496ozA9clNn1Kilabc10RJC8BIO6hSs6UApmdf94ETqDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:12.211585Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.08564","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13fba599542d5d64ac07cddb84fedd64e42145690b99a2f2c830a968b77da72e","sha256:48b301ad314ebd043aa6afc470b752e3f2a9b43cf950439f535179bbaedf9885"],"state_sha256":"03d8ea9b5a17cf90c81426fa7fa49c0b4be97751fad83668adab098812838daa"}