{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Y6Y3FQC6JSQIJKH5MYG4O4YWFS","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":"f63bef250050ccbe67c3da6f32967e9983ab896d05e782783182463eda731bf6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-06T02:51:57Z","title_canon_sha256":"8955510f0bb543b74faef557002ef42d9c03b99f93f3bcb1ca346f4aa047d632"},"schema_version":"1.0","source":{"id":"2406.03702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.03702","created_at":"2026-07-05T08:28:14Z"},{"alias_kind":"arxiv_version","alias_value":"2406.03702v1","created_at":"2026-07-05T08:28:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.03702","created_at":"2026-07-05T08:28:14Z"},{"alias_kind":"pith_short_12","alias_value":"Y6Y3FQC6JSQI","created_at":"2026-07-05T08:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"Y6Y3FQC6JSQIJKH5","created_at":"2026-07-05T08:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"Y6Y3FQC6","created_at":"2026-07-05T08:28:14Z"}],"graph_snapshots":[{"event_id":"sha256:a8f712b5cd0f5da15cb0a90bc63721d08fdd07070f0d80619618fcb747a95ae2","target":"graph","created_at":"2026-07-05T08:28:14Z","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/2406.03702/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Atrous convolutions are employed as a method to increase the receptive field in semantic segmentation tasks. However, in previous works of semantic segmentation, it was rarely employed in the shallow layers of the model. We revisit the design of atrous convolutions in modern convolutional neural networks (CNNs), and demonstrate that the concept of using large kernels to apply atrous convolutions could be a more powerful paradigm. We propose three guidelines to apply atrous convolutions more efficiently. Following these guidelines, we propose DSNet, a Dual-Branch CNN architecture, which incorpo","authors_text":"Huasheng Ni, Hu Wei, Jingyu Li, Liuyang Bian, Xuan Huang, Zilu Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-06T02:51:57Z","title":"DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.03702","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":"sha256:786e52b55f56b7045854934906592f2672b6fbb2b09632bed94b00ac4b986604","target":"record","created_at":"2026-07-05T08:28:14Z","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":"f63bef250050ccbe67c3da6f32967e9983ab896d05e782783182463eda731bf6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-06T02:51:57Z","title_canon_sha256":"8955510f0bb543b74faef557002ef42d9c03b99f93f3bcb1ca346f4aa047d632"},"schema_version":"1.0","source":{"id":"2406.03702","kind":"arxiv","version":1}},"canonical_sha256":"c7b1b2c05e4ca084a8fd660dc773162cbbe0951827cadf66c3a44f004cc888c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7b1b2c05e4ca084a8fd660dc773162cbbe0951827cadf66c3a44f004cc888c5","first_computed_at":"2026-07-05T08:28:14.891442Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:28:14.891442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zY87Er3KVblTHg/QU8TF0wLKTNrs5vw0kKfRQQIydySCF2ECrUSiVljx7nWw3TaQeSp7q4FqxsC0IaSHe46lAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:28:14.891907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.03702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:786e52b55f56b7045854934906592f2672b6fbb2b09632bed94b00ac4b986604","sha256:a8f712b5cd0f5da15cb0a90bc63721d08fdd07070f0d80619618fcb747a95ae2"],"state_sha256":"84b163e8749d6c5b350c39d879d4c029985f0c5eb05d65f518b24b042d2dd302"}