{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:UVRTIHXDKXXQHGH7J5RHZ5LGRE","short_pith_number":"pith:UVRTIHXD","schema_version":"1.0","canonical_sha256":"a563341ee355ef0398ff4f627cf566892df3cfa8d24ed697331e3f8b8c086b27","source":{"kind":"arxiv","id":"2308.05346","version":1},"attestation_state":"computed","paper":{"title":"Towards General and Fast Video Derain via Knowledge Distillation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Cong Bai, Defang Cai, Pan Mu, Sixian Chan, Zhanpeng Shao","submitted_at":"2023-08-10T05:27:43Z","abstract_excerpt":"As a common natural weather condition, rain can obscure video frames and thus affect the performance of the visual system, so video derain receives a lot of attention. In natural environments, rain has a wide variety of streak types, which increases the difficulty of the rain removal task. In this paper, we propose a Rain Review-based General video derain Network via knowledge distillation (named RRGNet) that handles different rain streak types with one pre-training weight. Specifically, we design a frame grouping-based encoder-decoder network that makes full use of the temporal information of"},"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":"2308.05346","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-10T05:27:43Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"86fbcc4aef049796ad3af4bc570461c4742f118df8638b7707228e10da4675ea","abstract_canon_sha256":"2c5a10b54fee35781cfbb5d2a6352d07226e6e6b9c45636935e3e0d189e647f0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:39:59.275956Z","signature_b64":"dVO+gbMNSSvrwsr8rl7kIwc3pEwES7FC8lwl3dXMOP5LDcWcikASVEtdP1KohJOTS0wAQY7HAjJPbe8XYKetBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a563341ee355ef0398ff4f627cf566892df3cfa8d24ed697331e3f8b8c086b27","last_reissued_at":"2026-07-05T06:39:59.275544Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:39:59.275544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards General and Fast Video Derain via Knowledge Distillation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Cong Bai, Defang Cai, Pan Mu, Sixian Chan, Zhanpeng Shao","submitted_at":"2023-08-10T05:27:43Z","abstract_excerpt":"As a common natural weather condition, rain can obscure video frames and thus affect the performance of the visual system, so video derain receives a lot of attention. In natural environments, rain has a wide variety of streak types, which increases the difficulty of the rain removal task. In this paper, we propose a Rain Review-based General video derain Network via knowledge distillation (named RRGNet) that handles different rain streak types with one pre-training weight. Specifically, we design a frame grouping-based encoder-decoder network that makes full use of the temporal information of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.05346","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/2308.05346/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":"2308.05346","created_at":"2026-07-05T06:39:59.275599+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.05346v1","created_at":"2026-07-05T06:39:59.275599+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.05346","created_at":"2026-07-05T06:39:59.275599+00:00"},{"alias_kind":"pith_short_12","alias_value":"UVRTIHXDKXXQ","created_at":"2026-07-05T06:39:59.275599+00:00"},{"alias_kind":"pith_short_16","alias_value":"UVRTIHXDKXXQHGH7","created_at":"2026-07-05T06:39:59.275599+00:00"},{"alias_kind":"pith_short_8","alias_value":"UVRTIHXD","created_at":"2026-07-05T06:39:59.275599+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/UVRTIHXDKXXQHGH7J5RHZ5LGRE","json":"https://pith.science/pith/UVRTIHXDKXXQHGH7J5RHZ5LGRE.json","graph_json":"https://pith.science/api/pith-number/UVRTIHXDKXXQHGH7J5RHZ5LGRE/graph.json","events_json":"https://pith.science/api/pith-number/UVRTIHXDKXXQHGH7J5RHZ5LGRE/events.json","paper":"https://pith.science/paper/UVRTIHXD"},"agent_actions":{"view_html":"https://pith.science/pith/UVRTIHXDKXXQHGH7J5RHZ5LGRE","download_json":"https://pith.science/pith/UVRTIHXDKXXQHGH7J5RHZ5LGRE.json","view_paper":"https://pith.science/paper/UVRTIHXD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.05346&json=true","fetch_graph":"https://pith.science/api/pith-number/UVRTIHXDKXXQHGH7J5RHZ5LGRE/graph.json","fetch_events":"https://pith.science/api/pith-number/UVRTIHXDKXXQHGH7J5RHZ5LGRE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UVRTIHXDKXXQHGH7J5RHZ5LGRE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UVRTIHXDKXXQHGH7J5RHZ5LGRE/action/storage_attestation","attest_author":"https://pith.science/pith/UVRTIHXDKXXQHGH7J5RHZ5LGRE/action/author_attestation","sign_citation":"https://pith.science/pith/UVRTIHXDKXXQHGH7J5RHZ5LGRE/action/citation_signature","submit_replication":"https://pith.science/pith/UVRTIHXDKXXQHGH7J5RHZ5LGRE/action/replication_record"}},"created_at":"2026-07-05T06:39:59.275599+00:00","updated_at":"2026-07-05T06:39:59.275599+00:00"}