{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:C7AUJ6QVUSPC7J2ZXJLKRSQOW5","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":"f68c4345cca62c302ac9cc4b997a821840a449df5389b87a2d2973329c7c4898","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-04-30T17:56:48Z","title_canon_sha256":"4b9201949655a593850e8e17a04b8e29e70e794c348d31e27422677fb764a600"},"schema_version":"1.0","source":{"id":"2004.15014","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.15014","created_at":"2026-07-05T00:59:59Z"},{"alias_kind":"arxiv_version","alias_value":"2004.15014v2","created_at":"2026-07-05T00:59:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.15014","created_at":"2026-07-05T00:59:59Z"},{"alias_kind":"pith_short_12","alias_value":"C7AUJ6QVUSPC","created_at":"2026-07-05T00:59:59Z"},{"alias_kind":"pith_short_16","alias_value":"C7AUJ6QVUSPC7J2Z","created_at":"2026-07-05T00:59:59Z"},{"alias_kind":"pith_short_8","alias_value":"C7AUJ6QV","created_at":"2026-07-05T00:59:59Z"}],"graph_snapshots":[{"event_id":"sha256:1b3e6cf1f178fc3a5946914741ad48817ef9486df44db9ddd8cfd8ddc71cb0c7","target":"graph","created_at":"2026-07-05T00:59:59Z","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/2004.15014/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Few-shot segmentation (FSS) methods perform image segmentation for a particular object class in a target (query) image, using a small set of (support) image-mask pairs. Recent deep neural network based FSS methods leverage high-dimensional feature similarity between the foreground features of the support images and the query image features. In this work, we demonstrate gaps in the utilization of this similarity information in existing methods, and present a framework - SimPropNet, to bridge those gaps. We propose to jointly predict the support and query masks to force the support features to s","authors_text":"Ayush Chopra, Balaji Krishnamurthy, Mayur Hemani, Siddhartha Gairola","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-04-30T17:56:48Z","title":"SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.15014","kind":"arxiv","version":2},"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":"sha256:79b4278dac31c858fd59fbffbd8ff9ecb5f92737821890d1ed7de560fd6da7e1","target":"record","created_at":"2026-07-05T00:59:59Z","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":"f68c4345cca62c302ac9cc4b997a821840a449df5389b87a2d2973329c7c4898","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-04-30T17:56:48Z","title_canon_sha256":"4b9201949655a593850e8e17a04b8e29e70e794c348d31e27422677fb764a600"},"schema_version":"1.0","source":{"id":"2004.15014","kind":"arxiv","version":2}},"canonical_sha256":"17c144fa15a49e2fa759ba56a8ca0eb7751a381a9a6aa5e9ec88af37bd2d24fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17c144fa15a49e2fa759ba56a8ca0eb7751a381a9a6aa5e9ec88af37bd2d24fb","first_computed_at":"2026-07-05T00:59:59.425828Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:59:59.425828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VMSk6mjk91uZqTH4JbrSgYaNSvjHlyOhykUbxokEduMrFrwx/WqheInh5R/Wc0zUMrvfzqOJ57TzhEKViIm0CA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:59:59.426216Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.15014","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79b4278dac31c858fd59fbffbd8ff9ecb5f92737821890d1ed7de560fd6da7e1","sha256:1b3e6cf1f178fc3a5946914741ad48817ef9486df44db9ddd8cfd8ddc71cb0c7"],"state_sha256":"f26be7b74a30c4c21ba354989dda4afb86483d915d2181d38d1d09f2d225c9b2"}