{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:VTWYS7VIMRM6SWQZC5FMMJHUBK","short_pith_number":"pith:VTWYS7VI","canonical_record":{"source":{"id":"2010.01884","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-05T09:36:47Z","cross_cats_sorted":[],"title_canon_sha256":"6ba504e35a63cecb964d54b98549426f3b46d178e63cc8779b6b528a0f851763","abstract_canon_sha256":"24d7243bad32c4a08acbfaef787852292dac3b08125914560e0199219c2dc4b1"},"schema_version":"1.0"},"canonical_sha256":"aced897ea86459e95a19174ac624f40a9a495e41575b89845a4ecc3c0b6d28db","source":{"kind":"arxiv","id":"2010.01884","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.01884","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"arxiv_version","alias_value":"2010.01884v1","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.01884","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"pith_short_12","alias_value":"VTWYS7VIMRM6","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"pith_short_16","alias_value":"VTWYS7VIMRM6SWQZ","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"pith_short_8","alias_value":"VTWYS7VI","created_at":"2026-07-05T01:40:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:VTWYS7VIMRM6SWQZC5FMMJHUBK","target":"record","payload":{"canonical_record":{"source":{"id":"2010.01884","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-05T09:36:47Z","cross_cats_sorted":[],"title_canon_sha256":"6ba504e35a63cecb964d54b98549426f3b46d178e63cc8779b6b528a0f851763","abstract_canon_sha256":"24d7243bad32c4a08acbfaef787852292dac3b08125914560e0199219c2dc4b1"},"schema_version":"1.0"},"canonical_sha256":"aced897ea86459e95a19174ac624f40a9a495e41575b89845a4ecc3c0b6d28db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:40:10.440076Z","signature_b64":"FsdcelE36ViubE0RcNCReJ+QTDcmKkjRgLefrgQCDPIc357sBr6jRTusGCZJfsa4WhYIoSNEoUQT1DllnPNYAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aced897ea86459e95a19174ac624f40a9a495e41575b89845a4ecc3c0b6d28db","last_reissued_at":"2026-07-05T01:40:10.439744Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:40:10.439744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.01884","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:40:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OC5Agb5AGpyJzrygfftJBJ0wYo9WFjBmVXL4ddtsg/COAWV9fXZ8+nJzt9PwcPmZnzJDH62NLwtM6XFTnW60DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:03:39.252142Z"},"content_sha256":"a8eb19374be8a3efa521cfb4e8f21f4e1e0dc3c475a6905406fca86214533901","schema_version":"1.0","event_id":"sha256:a8eb19374be8a3efa521cfb4e8f21f4e1e0dc3c475a6905406fca86214533901"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:VTWYS7VIMRM6SWQZC5FMMJHUBK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanno Gottschalk, Lutz Roese-Koerner, Matthias Rottmann, Pascal Colling","submitted_at":"2020-10-05T09:36:47Z","abstract_excerpt":"We present a novel region based active learning method for semantic image segmentation, called MetaBox+. For acquisition, we train a meta regression model to estimate the segment-wise Intersection over Union (IoU) of each predicted segment of unlabeled images. This can be understood as an estimation of segment-wise prediction quality. Queried regions are supposed to minimize to competing targets, i.e., low predicted IoU values / segmentation quality and low estimated annotation costs. For estimating the latter we propose a simple but practical method for annotation cost estimation. We compare "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.01884","kind":"arxiv","version":1},"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/2010.01884/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:40:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OuOay6NBFedp+Dt5I3MT6dVniF5RFCMqeDp4nvp+1fXkL5/65O4mBykDLEjJG19jnOyFQ1ICzEAZO6dSU8bXAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:03:39.252630Z"},"content_sha256":"91eeea4f2835de45f92b17982a8702e7b29f0df169972908c59a6325a29e1e38","schema_version":"1.0","event_id":"sha256:91eeea4f2835de45f92b17982a8702e7b29f0df169972908c59a6325a29e1e38"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VTWYS7VIMRM6SWQZC5FMMJHUBK/bundle.json","state_url":"https://pith.science/pith/VTWYS7VIMRM6SWQZC5FMMJHUBK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VTWYS7VIMRM6SWQZC5FMMJHUBK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T00:03:39Z","links":{"resolver":"https://pith.science/pith/VTWYS7VIMRM6SWQZC5FMMJHUBK","bundle":"https://pith.science/pith/VTWYS7VIMRM6SWQZC5FMMJHUBK/bundle.json","state":"https://pith.science/pith/VTWYS7VIMRM6SWQZC5FMMJHUBK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VTWYS7VIMRM6SWQZC5FMMJHUBK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:VTWYS7VIMRM6SWQZC5FMMJHUBK","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":"24d7243bad32c4a08acbfaef787852292dac3b08125914560e0199219c2dc4b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-05T09:36:47Z","title_canon_sha256":"6ba504e35a63cecb964d54b98549426f3b46d178e63cc8779b6b528a0f851763"},"schema_version":"1.0","source":{"id":"2010.01884","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.01884","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"arxiv_version","alias_value":"2010.01884v1","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.01884","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"pith_short_12","alias_value":"VTWYS7VIMRM6","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"pith_short_16","alias_value":"VTWYS7VIMRM6SWQZ","created_at":"2026-07-05T01:40:10Z"},{"alias_kind":"pith_short_8","alias_value":"VTWYS7VI","created_at":"2026-07-05T01:40:10Z"}],"graph_snapshots":[{"event_id":"sha256:91eeea4f2835de45f92b17982a8702e7b29f0df169972908c59a6325a29e1e38","target":"graph","created_at":"2026-07-05T01:40:10Z","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/2010.01884/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel region based active learning method for semantic image segmentation, called MetaBox+. For acquisition, we train a meta regression model to estimate the segment-wise Intersection over Union (IoU) of each predicted segment of unlabeled images. This can be understood as an estimation of segment-wise prediction quality. Queried regions are supposed to minimize to competing targets, i.e., low predicted IoU values / segmentation quality and low estimated annotation costs. For estimating the latter we propose a simple but practical method for annotation cost estimation. We compare ","authors_text":"Hanno Gottschalk, Lutz Roese-Koerner, Matthias Rottmann, Pascal Colling","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-05T09:36:47Z","title":"MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.01884","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:a8eb19374be8a3efa521cfb4e8f21f4e1e0dc3c475a6905406fca86214533901","target":"record","created_at":"2026-07-05T01:40:10Z","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":"24d7243bad32c4a08acbfaef787852292dac3b08125914560e0199219c2dc4b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-05T09:36:47Z","title_canon_sha256":"6ba504e35a63cecb964d54b98549426f3b46d178e63cc8779b6b528a0f851763"},"schema_version":"1.0","source":{"id":"2010.01884","kind":"arxiv","version":1}},"canonical_sha256":"aced897ea86459e95a19174ac624f40a9a495e41575b89845a4ecc3c0b6d28db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aced897ea86459e95a19174ac624f40a9a495e41575b89845a4ecc3c0b6d28db","first_computed_at":"2026-07-05T01:40:10.439744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:40:10.439744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FsdcelE36ViubE0RcNCReJ+QTDcmKkjRgLefrgQCDPIc357sBr6jRTusGCZJfsa4WhYIoSNEoUQT1DllnPNYAA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:40:10.440076Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.01884","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8eb19374be8a3efa521cfb4e8f21f4e1e0dc3c475a6905406fca86214533901","sha256:91eeea4f2835de45f92b17982a8702e7b29f0df169972908c59a6325a29e1e38"],"state_sha256":"b0412e81189186ac15a151cd61b52c712820455b3e78585e03ce0e95e607661d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YNa8W4+2UrvsYf7uMKvUJv2xk+G/AehAPIr0SZ7rc7vMKdvhU66uke98K1bc/njJ5Ei/NFWLn5pEe37FXWLfAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T00:03:39.256595Z","bundle_sha256":"a8e421c3c74c329e2f8fd6e076a89695533e22ad501b22377b9462768521f5ac"}}