{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:5DW26WN4I7I2KRCAZISWLJY65U","short_pith_number":"pith:5DW26WN4","schema_version":"1.0","canonical_sha256":"e8edaf59bc47d1a54440ca2565a71eed29ef914088cc9a467c8cb18c6507013d","source":{"kind":"arxiv","id":"2211.14513","version":3},"attestation_state":"computed","paper":{"title":"Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chenming Li, Daoan Zhang, Haoquan Li, Jianguo Zhang, Lingyun Huang, Wenjian Huang","submitted_at":"2022-11-26T08:43:12Z","abstract_excerpt":"Unsupervised image semantic segmentation(UISS) aims to match low-level visual features with semantic-level representations without outer supervision. In this paper, we address the critical properties from the view of feature alignments and feature uniformity for UISS models. We also make a comparison between UISS and image-wise representation learning. Based on the analysis, we argue that the existing MI-based methods in UISS suffer from representation collapse. By this, we proposed a robust network called Semantic Attention Network(SAN), in which a new module Semantic Attention(SEAT) is propo"},"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":"2211.14513","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-26T08:43:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a79d350d1234c8856956f7a5be66cfda7af905b3e0800da68a1c877fd0adf5b1","abstract_canon_sha256":"5e5349e4abfe42d1a78fea6918b370e6d67d81130fbcdac7ba060118f1cc10d5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:40.739773Z","signature_b64":"J2AijPyqr/Zc7jT7V+8xHQhlPgzHLwLi+pLl4d6RpGKxqKy3LHFpc6xs/qeoW0w1RPGDCw3BeFf3yVK+/kwHAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8edaf59bc47d1a54440ca2565a71eed29ef914088cc9a467c8cb18c6507013d","last_reissued_at":"2026-07-05T09:46:40.739267Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:40.739267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chenming Li, Daoan Zhang, Haoquan Li, Jianguo Zhang, Lingyun Huang, Wenjian Huang","submitted_at":"2022-11-26T08:43:12Z","abstract_excerpt":"Unsupervised image semantic segmentation(UISS) aims to match low-level visual features with semantic-level representations without outer supervision. In this paper, we address the critical properties from the view of feature alignments and feature uniformity for UISS models. We also make a comparison between UISS and image-wise representation learning. Based on the analysis, we argue that the existing MI-based methods in UISS suffer from representation collapse. By this, we proposed a robust network called Semantic Attention Network(SAN), in which a new module Semantic Attention(SEAT) is propo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.14513","kind":"arxiv","version":3},"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/2211.14513/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":"2211.14513","created_at":"2026-07-05T09:46:40.739326+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.14513v3","created_at":"2026-07-05T09:46:40.739326+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.14513","created_at":"2026-07-05T09:46:40.739326+00:00"},{"alias_kind":"pith_short_12","alias_value":"5DW26WN4I7I2","created_at":"2026-07-05T09:46:40.739326+00:00"},{"alias_kind":"pith_short_16","alias_value":"5DW26WN4I7I2KRCA","created_at":"2026-07-05T09:46:40.739326+00:00"},{"alias_kind":"pith_short_8","alias_value":"5DW26WN4","created_at":"2026-07-05T09:46:40.739326+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/5DW26WN4I7I2KRCAZISWLJY65U","json":"https://pith.science/pith/5DW26WN4I7I2KRCAZISWLJY65U.json","graph_json":"https://pith.science/api/pith-number/5DW26WN4I7I2KRCAZISWLJY65U/graph.json","events_json":"https://pith.science/api/pith-number/5DW26WN4I7I2KRCAZISWLJY65U/events.json","paper":"https://pith.science/paper/5DW26WN4"},"agent_actions":{"view_html":"https://pith.science/pith/5DW26WN4I7I2KRCAZISWLJY65U","download_json":"https://pith.science/pith/5DW26WN4I7I2KRCAZISWLJY65U.json","view_paper":"https://pith.science/paper/5DW26WN4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.14513&json=true","fetch_graph":"https://pith.science/api/pith-number/5DW26WN4I7I2KRCAZISWLJY65U/graph.json","fetch_events":"https://pith.science/api/pith-number/5DW26WN4I7I2KRCAZISWLJY65U/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5DW26WN4I7I2KRCAZISWLJY65U/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5DW26WN4I7I2KRCAZISWLJY65U/action/storage_attestation","attest_author":"https://pith.science/pith/5DW26WN4I7I2KRCAZISWLJY65U/action/author_attestation","sign_citation":"https://pith.science/pith/5DW26WN4I7I2KRCAZISWLJY65U/action/citation_signature","submit_replication":"https://pith.science/pith/5DW26WN4I7I2KRCAZISWLJY65U/action/replication_record"}},"created_at":"2026-07-05T09:46:40.739326+00:00","updated_at":"2026-07-05T09:46:40.739326+00:00"}