{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JKG5L2NYH3FSMYAMZT6GAGRGW6","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":"a284c34efb44e727f01f6aaadccb47118fbef694d60554ffb563a70947d65d71","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-08T01:59:23Z","title_canon_sha256":"a811835e0fcfcc14130007de969b58cb0ab9c88907afcd0925cc921993d73fef"},"schema_version":"1.0","source":{"id":"2005.03819","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.03819","created_at":"2026-07-05T01:01:26Z"},{"alias_kind":"arxiv_version","alias_value":"2005.03819v1","created_at":"2026-07-05T01:01:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.03819","created_at":"2026-07-05T01:01:26Z"},{"alias_kind":"pith_short_12","alias_value":"JKG5L2NYH3FS","created_at":"2026-07-05T01:01:26Z"},{"alias_kind":"pith_short_16","alias_value":"JKG5L2NYH3FSMYAM","created_at":"2026-07-05T01:01:26Z"},{"alias_kind":"pith_short_8","alias_value":"JKG5L2NY","created_at":"2026-07-05T01:01:26Z"}],"graph_snapshots":[{"event_id":"sha256:00c1ba1f4a7aaef453369a40cb05a04f959779fa4e54ea19b755903c9f2f86bb","target":"graph","created_at":"2026-07-05T01:01:26Z","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/2005.03819/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning has revolutionized object detection thanks to large-scale datasets, but their object categories are still arguably very limited. In this paper, we attempt to enrich such categories by addressing the one-shot object detection problem, where the number of annotated training examples for learning an unseen class is limited to one. We introduce a two-stage model consisting of a first stage Matching-FCOS network and a second stage Structure-Aware Relation Module, the combination of which integrates metric learning with an anchor-free Faster R-CNN-style detection pipeline, eventually e","authors_text":"Chi-Keung Tang, Lin Zhang, Xiang Li, Yau Pun Chen, Yu-Wing Tai","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-08T01:59:23Z","title":"One-Shot Object Detection without Fine-Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.03819","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":"sha256:90e2f1519494ab3d67c86d8f0753b4fcf99fead3e77673d8cae40897fc9fe4f5","target":"record","created_at":"2026-07-05T01:01:26Z","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":"a284c34efb44e727f01f6aaadccb47118fbef694d60554ffb563a70947d65d71","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-08T01:59:23Z","title_canon_sha256":"a811835e0fcfcc14130007de969b58cb0ab9c88907afcd0925cc921993d73fef"},"schema_version":"1.0","source":{"id":"2005.03819","kind":"arxiv","version":1}},"canonical_sha256":"4a8dd5e9b83ecb26600cccfc601a26b794ef40dce71fac28048d394237a9ad11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a8dd5e9b83ecb26600cccfc601a26b794ef40dce71fac28048d394237a9ad11","first_computed_at":"2026-07-05T01:01:26.413521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:01:26.413521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VNqZd1RzBCEsPBdJU4FULa2NKUROggWi3LZE6PUnkKTx1BjafG9iG0qQgdMmIKLjUCgPQpC4GwMbjXx6L8caAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:01:26.413919Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.03819","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90e2f1519494ab3d67c86d8f0753b4fcf99fead3e77673d8cae40897fc9fe4f5","sha256:00c1ba1f4a7aaef453369a40cb05a04f959779fa4e54ea19b755903c9f2f86bb"],"state_sha256":"03861c6e4d9a21442c6239aa8fff78509acd8c49937cd4346ace8cd964aabb09"}