{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:IHQ3ZVSQBLKPFBXZJ4SAVFTA4J","short_pith_number":"pith:IHQ3ZVSQ","schema_version":"1.0","canonical_sha256":"41e1bcd6500ad4f286f94f240a9660e2706c2cf004cd429d15bf4a45834885d3","source":{"kind":"arxiv","id":"1905.09033","version":1},"attestation_state":"computed","paper":{"title":"Spatial Sampling Network for Fast Scene Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Davide Mazzini, Raimondo Schettini","submitted_at":"2019-05-22T09:24:17Z","abstract_excerpt":"We propose a network architecture to perform efficient scene understanding. This work presents three main novelties: the first is an Improved Guided Upsampling Module that can replace in toto the decoder part in common semantic segmentation networks. Our second contribution is the introduction of a new module based on spatial sampling to perform Instance Segmentation. It provides a very fast instance segmentation, needing only thresholding as post-processing step at inference time. Finally, we propose a novel efficient network design that includes the new modules and test it against different "},"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":"1905.09033","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-22T09:24:17Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"217df013d44bb9c9b8f5aaa9051936610c90e2f7560fd6535d1cde7c4d50a53d","abstract_canon_sha256":"7c49804cdb0dccff61647cb55cf2a9279274a771b569049ef47d446573bdb206"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:24.554806Z","signature_b64":"D6IyVfMrdGxCHqJlvb1X1W70wRIC8x+goXHiYoXMPWr+OX2b2YaW/uxMVhKtDpj9vrTGsjaskWFV6pJ6dcsCCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41e1bcd6500ad4f286f94f240a9660e2706c2cf004cd429d15bf4a45834885d3","last_reissued_at":"2026-05-17T23:45:24.554416Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:24.554416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spatial Sampling Network for Fast Scene Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Davide Mazzini, Raimondo Schettini","submitted_at":"2019-05-22T09:24:17Z","abstract_excerpt":"We propose a network architecture to perform efficient scene understanding. This work presents three main novelties: the first is an Improved Guided Upsampling Module that can replace in toto the decoder part in common semantic segmentation networks. Our second contribution is the introduction of a new module based on spatial sampling to perform Instance Segmentation. It provides a very fast instance segmentation, needing only thresholding as post-processing step at inference time. Finally, we propose a novel efficient network design that includes the new modules and test it against different "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.09033","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":""},"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":"1905.09033","created_at":"2026-05-17T23:45:24.554472+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.09033v1","created_at":"2026-05-17T23:45:24.554472+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.09033","created_at":"2026-05-17T23:45:24.554472+00:00"},{"alias_kind":"pith_short_12","alias_value":"IHQ3ZVSQBLKP","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"IHQ3ZVSQBLKPFBXZ","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"IHQ3ZVSQ","created_at":"2026-05-18T12:33:18.533446+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/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J","json":"https://pith.science/pith/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J.json","graph_json":"https://pith.science/api/pith-number/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/graph.json","events_json":"https://pith.science/api/pith-number/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/events.json","paper":"https://pith.science/paper/IHQ3ZVSQ"},"agent_actions":{"view_html":"https://pith.science/pith/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J","download_json":"https://pith.science/pith/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J.json","view_paper":"https://pith.science/paper/IHQ3ZVSQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.09033&json=true","fetch_graph":"https://pith.science/api/pith-number/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/graph.json","fetch_events":"https://pith.science/api/pith-number/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/action/storage_attestation","attest_author":"https://pith.science/pith/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/action/author_attestation","sign_citation":"https://pith.science/pith/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/action/citation_signature","submit_replication":"https://pith.science/pith/IHQ3ZVSQBLKPFBXZJ4SAVFTA4J/action/replication_record"}},"created_at":"2026-05-17T23:45:24.554472+00:00","updated_at":"2026-05-17T23:45:24.554472+00:00"}