{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5C4QZUSBKOSUNQYVYUONWL74ZI","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":"15fd2579a065d64727fa2c875b579e0b20d6730ca18e597a1a2df5aa203d61b6","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-28T10:16:04Z","title_canon_sha256":"9236bffa36e3fde2e4de2f5579689fdc15f7fcc42288b3f3256f2c5ac37e2793"},"schema_version":"1.0","source":{"id":"1904.12294","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12294","created_at":"2026-05-17T23:47:36Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12294v1","created_at":"2026-05-17T23:47:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12294","created_at":"2026-05-17T23:47:36Z"},{"alias_kind":"pith_short_12","alias_value":"5C4QZUSBKOSU","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"5C4QZUSBKOSUNQYV","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"5C4QZUSB","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:c53fa9861f47a55c9196f10cd8d2c86d421b4e3ee3e5d469df6dfe7a00cf9522","target":"graph","created_at":"2026-05-17T23:47:36Z","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"},"paper":{"abstract_excerpt":"This paper presents an improved scheme for the generation and adaption of synthetic images for the training of deep Convolutional Neural Networks(CNNs) to perform the object detection task in smart vending machines. While generating synthetic data has proved to be effective for complementing the training data in supervised learning methods, challenges still exist for generating virtual images which are similar to those of the complex real scenes and minimizing redundant training data. To solve these problems, we consider the simulation of cluttered objects placed in a virtual scene and the wid","authors_text":"Fuyuan Shi, Kai Wang, Shiguo Lian, Wenqi Wang, Yibing Nan","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-28T10:16:04Z","title":"Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12294","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":"sha256:3365692acda0eba943ad1120f644b09df4005084785bbbaceefa49dfb167f535","target":"record","created_at":"2026-05-17T23:47:36Z","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":"15fd2579a065d64727fa2c875b579e0b20d6730ca18e597a1a2df5aa203d61b6","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-28T10:16:04Z","title_canon_sha256":"9236bffa36e3fde2e4de2f5579689fdc15f7fcc42288b3f3256f2c5ac37e2793"},"schema_version":"1.0","source":{"id":"1904.12294","kind":"arxiv","version":1}},"canonical_sha256":"e8b90cd24153a546c315c51cdb2ffcca0c7efd0eda4b897d6307f02d53987d56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e8b90cd24153a546c315c51cdb2ffcca0c7efd0eda4b897d6307f02d53987d56","first_computed_at":"2026-05-17T23:47:36.864938Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:36.864938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U+ANwstJWEs729gat5ISM7t0qYTKtU+tTw1/9m02Nj2Nnr6vpcuC1Y8z+wnuiKYF6oq0O4VMpirjnugjtxXhCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:36.865585Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.12294","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3365692acda0eba943ad1120f644b09df4005084785bbbaceefa49dfb167f535","sha256:c53fa9861f47a55c9196f10cd8d2c86d421b4e3ee3e5d469df6dfe7a00cf9522"],"state_sha256":"b720f4d60193a9b3019e98d1b766f576dedb1c1a13108231c1bdc2d2aca8ca01"}