{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:VKS7GF7TGJWKSWVURHN4INFEEA","short_pith_number":"pith:VKS7GF7T","schema_version":"1.0","canonical_sha256":"aaa5f317f3326ca95ab489dbc434a4202054fadd9ccf02b4ac1fbc3362ca5ff5","source":{"kind":"arxiv","id":"2108.03637","version":1},"attestation_state":"computed","paper":{"title":"Saliency-Associated Object Tracking","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Zheng, Hongpeng Wang, Wenjie Pei, Xin Li, Zhenyu He, Zikun Zhou","submitted_at":"2021-08-08T13:54:09Z","abstract_excerpt":"Most existing trackers based on deep learning perform tracking in a holistic strategy, which aims to learn deep representations of the whole target for localizing the target. It is arduous for such methods to track targets with various appearance variations. To address this limitation, another type of methods adopts a part-based tracking strategy which divides the target into equal patches and tracks all these patches in parallel. The target state is inferred by summarizing the tracking results of these patches. A potential limitation of such trackers is that not all patches are equally inform"},"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":"2108.03637","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-08T13:54:09Z","cross_cats_sorted":[],"title_canon_sha256":"d8f842b5e98f8293c498d442cd54db433b720eb188ee7f26e698d5f13bccebf3","abstract_canon_sha256":"3d2fcb09da3f9766ff7086c88d56ce8a965807fbcee6249786d2e41b6155b20b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:04:08.004730Z","signature_b64":"c3v5GPvsNQNjZxrJ9bYBnCL/Ah3sedh/NN5zdmPKYTcWnUGjd895M4GDTOIRKl64VKzSWmIuQkeNFr7rg3pZAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aaa5f317f3326ca95ab489dbc434a4202054fadd9ccf02b4ac1fbc3362ca5ff5","last_reissued_at":"2026-07-05T03:04:08.004138Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:04:08.004138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Saliency-Associated Object Tracking","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Zheng, Hongpeng Wang, Wenjie Pei, Xin Li, Zhenyu He, Zikun Zhou","submitted_at":"2021-08-08T13:54:09Z","abstract_excerpt":"Most existing trackers based on deep learning perform tracking in a holistic strategy, which aims to learn deep representations of the whole target for localizing the target. It is arduous for such methods to track targets with various appearance variations. To address this limitation, another type of methods adopts a part-based tracking strategy which divides the target into equal patches and tracks all these patches in parallel. The target state is inferred by summarizing the tracking results of these patches. A potential limitation of such trackers is that not all patches are equally inform"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.03637","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/2108.03637/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":"2108.03637","created_at":"2026-07-05T03:04:08.004199+00:00"},{"alias_kind":"arxiv_version","alias_value":"2108.03637v1","created_at":"2026-07-05T03:04:08.004199+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.03637","created_at":"2026-07-05T03:04:08.004199+00:00"},{"alias_kind":"pith_short_12","alias_value":"VKS7GF7TGJWK","created_at":"2026-07-05T03:04:08.004199+00:00"},{"alias_kind":"pith_short_16","alias_value":"VKS7GF7TGJWKSWVU","created_at":"2026-07-05T03:04:08.004199+00:00"},{"alias_kind":"pith_short_8","alias_value":"VKS7GF7T","created_at":"2026-07-05T03:04:08.004199+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/VKS7GF7TGJWKSWVURHN4INFEEA","json":"https://pith.science/pith/VKS7GF7TGJWKSWVURHN4INFEEA.json","graph_json":"https://pith.science/api/pith-number/VKS7GF7TGJWKSWVURHN4INFEEA/graph.json","events_json":"https://pith.science/api/pith-number/VKS7GF7TGJWKSWVURHN4INFEEA/events.json","paper":"https://pith.science/paper/VKS7GF7T"},"agent_actions":{"view_html":"https://pith.science/pith/VKS7GF7TGJWKSWVURHN4INFEEA","download_json":"https://pith.science/pith/VKS7GF7TGJWKSWVURHN4INFEEA.json","view_paper":"https://pith.science/paper/VKS7GF7T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2108.03637&json=true","fetch_graph":"https://pith.science/api/pith-number/VKS7GF7TGJWKSWVURHN4INFEEA/graph.json","fetch_events":"https://pith.science/api/pith-number/VKS7GF7TGJWKSWVURHN4INFEEA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VKS7GF7TGJWKSWVURHN4INFEEA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VKS7GF7TGJWKSWVURHN4INFEEA/action/storage_attestation","attest_author":"https://pith.science/pith/VKS7GF7TGJWKSWVURHN4INFEEA/action/author_attestation","sign_citation":"https://pith.science/pith/VKS7GF7TGJWKSWVURHN4INFEEA/action/citation_signature","submit_replication":"https://pith.science/pith/VKS7GF7TGJWKSWVURHN4INFEEA/action/replication_record"}},"created_at":"2026-07-05T03:04:08.004199+00:00","updated_at":"2026-07-05T03:04:08.004199+00:00"}