{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:O3BGGLIEJMPMGLR5NOMOJTDXWR","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":"41594b6d41ad5255222a93cf0e9c96d65557803249698ed8a607534cdc2432b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-23T09:36:27Z","title_canon_sha256":"5e1d4f9769fc5757bf45b5eda63259a47017104443a4dc5cc55813a07b7a5216"},"schema_version":"1.0","source":{"id":"2305.13864","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.13864","created_at":"2026-07-05T06:12:58Z"},{"alias_kind":"arxiv_version","alias_value":"2305.13864v1","created_at":"2026-07-05T06:12:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.13864","created_at":"2026-07-05T06:12:58Z"},{"alias_kind":"pith_short_12","alias_value":"O3BGGLIEJMPM","created_at":"2026-07-05T06:12:58Z"},{"alias_kind":"pith_short_16","alias_value":"O3BGGLIEJMPMGLR5","created_at":"2026-07-05T06:12:58Z"},{"alias_kind":"pith_short_8","alias_value":"O3BGGLIE","created_at":"2026-07-05T06:12:58Z"}],"graph_snapshots":[{"event_id":"sha256:2a0653a2e5d977e29496d8df3b2c6dd90a178ef9ff1cd8333e001743ad21dfcc","target":"graph","created_at":"2026-07-05T06:12:58Z","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/2305.13864/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing few-shot segmentation methods are based on the meta-learning strategy and extract instance knowledge from a support set and then apply the knowledge to segment target objects in a query set. However, the extracted knowledge is insufficient to cope with the variable intra-class differences since the knowledge is obtained from a few samples in the support set. To address the problem, we propose a multi-information aggregation network (MIANet) that effectively leverages the general knowledge, i.e., semantic word embeddings, and instance information for accurate segmentation. Specifically","authors_text":"Qiong Chen, Tianlin Huang, Yong Yang, Yuan Feng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-23T09:36:27Z","title":"MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.13864","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:eb09b0f68189a604bd4e0b725fab4a528e6bd90f07ea5ddfdcef18fe7c5cae07","target":"record","created_at":"2026-07-05T06:12:58Z","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":"41594b6d41ad5255222a93cf0e9c96d65557803249698ed8a607534cdc2432b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-23T09:36:27Z","title_canon_sha256":"5e1d4f9769fc5757bf45b5eda63259a47017104443a4dc5cc55813a07b7a5216"},"schema_version":"1.0","source":{"id":"2305.13864","kind":"arxiv","version":1}},"canonical_sha256":"76c2632d044b1ec32e3d6b98e4cc77b47263b3bf47d8c7773f271ee74fa7447a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76c2632d044b1ec32e3d6b98e4cc77b47263b3bf47d8c7773f271ee74fa7447a","first_computed_at":"2026-07-05T06:12:58.368359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:12:58.368359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3uOdoCqj33IlEI04rzkJfqdCouYqG1GIS0r9v00B2FUV97vjfjRYDD9+0NLJqFypCk3SkkzGsRzI1bjIzEgzAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:12:58.368731Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.13864","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb09b0f68189a604bd4e0b725fab4a528e6bd90f07ea5ddfdcef18fe7c5cae07","sha256:2a0653a2e5d977e29496d8df3b2c6dd90a178ef9ff1cd8333e001743ad21dfcc"],"state_sha256":"5402f6440861bf6060289100845892c018617b2f020872f46a0d9b8f6e2c7b4b"}