{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DJYVMN7GLGHNMS3BG4MYEXUC23","short_pith_number":"pith:DJYVMN7G","canonical_record":{"source":{"id":"1809.08264","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-21T18:29:13Z","cross_cats_sorted":[],"title_canon_sha256":"c4f26455954e07bf279e7ed42805bd2adb0daf483d1f220038eca4e23dfa9180","abstract_canon_sha256":"b621f6be0ac8f34b8a118542fdcefa79ada87937ea139ccf9e87ac02380c0ee9"},"schema_version":"1.0"},"canonical_sha256":"1a715637e6598ed64b613719825e82d6f7fdf8103983869f7f1bfdca98e150d4","source":{"kind":"arxiv","id":"1809.08264","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.08264","created_at":"2026-05-18T00:05:08Z"},{"alias_kind":"arxiv_version","alias_value":"1809.08264v1","created_at":"2026-05-18T00:05:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.08264","created_at":"2026-05-18T00:05:08Z"},{"alias_kind":"pith_short_12","alias_value":"DJYVMN7GLGHN","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DJYVMN7GLGHNMS3B","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DJYVMN7G","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DJYVMN7GLGHNMS3BG4MYEXUC23","target":"record","payload":{"canonical_record":{"source":{"id":"1809.08264","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-21T18:29:13Z","cross_cats_sorted":[],"title_canon_sha256":"c4f26455954e07bf279e7ed42805bd2adb0daf483d1f220038eca4e23dfa9180","abstract_canon_sha256":"b621f6be0ac8f34b8a118542fdcefa79ada87937ea139ccf9e87ac02380c0ee9"},"schema_version":"1.0"},"canonical_sha256":"1a715637e6598ed64b613719825e82d6f7fdf8103983869f7f1bfdca98e150d4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:08.986478Z","signature_b64":"2Ffj8J0r79tXTt8FQlZBV2EwPhvnbiAIyViHYX/RQGy0lV2GoBDO8vkBQOQQW4VMlL/YuNotY5Q/+3YaFdIUBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a715637e6598ed64b613719825e82d6f7fdf8103983869f7f1bfdca98e150d4","last_reissued_at":"2026-05-18T00:05:08.985753Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:08.985753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.08264","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":"2026-05-18T00:05:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wyA6u9dg//PDSsB58kUoLb58duGuhTdi3+yhuXzMP+EFe2hKtnwAEqR90cIwHB34yGNmI4RsEUj2ALkRqo4/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T22:26:12.456610Z"},"content_sha256":"318ca420aed5f0982bad2b8cf4017945bf834f15507b21ba88f1eb0c28dcf437","schema_version":"1.0","event_id":"sha256:318ca420aed5f0982bad2b8cf4017945bf834f15507b21ba88f1eb0c28dcf437"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DJYVMN7GLGHNMS3BG4MYEXUC23","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Suo Qiu","submitted_at":"2018-09-21T18:29:13Z","abstract_excerpt":"In this work, we first tackle the problem of simultaneous pixel-level localization and image-level classification with only image-level labels for fully convolutional network training. We investigate the global pooling method which plays a vital role in this task. Classical global max pooling and average pooling methods are hard to indicate the precise regions of objects. Therefore, we revisit the global weighted average pooling (GWAP) method for this task and propose the class-agnostic GWAP module and the class-specific GWAP module in this paper. We evaluate the classification and pixel-level"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.08264","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":""},"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":"2026-05-18T00:05:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w02K+GorU7qDpD9R7cg6K+babXZpk02Udmnhth+KFe4pemcOBedtVuH5uCeltQD34ZvPSxyHr8dF+ho3MNghDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T22:26:12.457198Z"},"content_sha256":"d42b72cc0c16926587c90ba5b7cefad8368c8181fee4196e506c4f20fed62f5e","schema_version":"1.0","event_id":"sha256:d42b72cc0c16926587c90ba5b7cefad8368c8181fee4196e506c4f20fed62f5e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DJYVMN7GLGHNMS3BG4MYEXUC23/bundle.json","state_url":"https://pith.science/pith/DJYVMN7GLGHNMS3BG4MYEXUC23/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DJYVMN7GLGHNMS3BG4MYEXUC23/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":"2026-05-25T22:26:12Z","links":{"resolver":"https://pith.science/pith/DJYVMN7GLGHNMS3BG4MYEXUC23","bundle":"https://pith.science/pith/DJYVMN7GLGHNMS3BG4MYEXUC23/bundle.json","state":"https://pith.science/pith/DJYVMN7GLGHNMS3BG4MYEXUC23/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DJYVMN7GLGHNMS3BG4MYEXUC23/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DJYVMN7GLGHNMS3BG4MYEXUC23","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":"b621f6be0ac8f34b8a118542fdcefa79ada87937ea139ccf9e87ac02380c0ee9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-21T18:29:13Z","title_canon_sha256":"c4f26455954e07bf279e7ed42805bd2adb0daf483d1f220038eca4e23dfa9180"},"schema_version":"1.0","source":{"id":"1809.08264","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.08264","created_at":"2026-05-18T00:05:08Z"},{"alias_kind":"arxiv_version","alias_value":"1809.08264v1","created_at":"2026-05-18T00:05:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.08264","created_at":"2026-05-18T00:05:08Z"},{"alias_kind":"pith_short_12","alias_value":"DJYVMN7GLGHN","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DJYVMN7GLGHNMS3B","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DJYVMN7G","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:d42b72cc0c16926587c90ba5b7cefad8368c8181fee4196e506c4f20fed62f5e","target":"graph","created_at":"2026-05-18T00:05:08Z","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":"In this work, we first tackle the problem of simultaneous pixel-level localization and image-level classification with only image-level labels for fully convolutional network training. We investigate the global pooling method which plays a vital role in this task. Classical global max pooling and average pooling methods are hard to indicate the precise regions of objects. Therefore, we revisit the global weighted average pooling (GWAP) method for this task and propose the class-agnostic GWAP module and the class-specific GWAP module in this paper. We evaluate the classification and pixel-level","authors_text":"Suo Qiu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-21T18:29:13Z","title":"Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.08264","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":"sha256:318ca420aed5f0982bad2b8cf4017945bf834f15507b21ba88f1eb0c28dcf437","target":"record","created_at":"2026-05-18T00:05:08Z","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":"b621f6be0ac8f34b8a118542fdcefa79ada87937ea139ccf9e87ac02380c0ee9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-21T18:29:13Z","title_canon_sha256":"c4f26455954e07bf279e7ed42805bd2adb0daf483d1f220038eca4e23dfa9180"},"schema_version":"1.0","source":{"id":"1809.08264","kind":"arxiv","version":1}},"canonical_sha256":"1a715637e6598ed64b613719825e82d6f7fdf8103983869f7f1bfdca98e150d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a715637e6598ed64b613719825e82d6f7fdf8103983869f7f1bfdca98e150d4","first_computed_at":"2026-05-18T00:05:08.985753Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:08.985753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2Ffj8J0r79tXTt8FQlZBV2EwPhvnbiAIyViHYX/RQGy0lV2GoBDO8vkBQOQQW4VMlL/YuNotY5Q/+3YaFdIUBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:08.986478Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.08264","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:318ca420aed5f0982bad2b8cf4017945bf834f15507b21ba88f1eb0c28dcf437","sha256:d42b72cc0c16926587c90ba5b7cefad8368c8181fee4196e506c4f20fed62f5e"],"state_sha256":"c6cc6395aaa13945becfd3371860fd589b0a5af2d552c546c05e32d5b5c1cd33"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0KrrPYyJekvrl3N4fuY7KkTmLDBGHyGyGFwexowS5lhbUsm7svvYZCZJWPk+5qWztM/D1KH6YXZbnnkwXwOZBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T22:26:12.460369Z","bundle_sha256":"ed0914405d9feb1ae8bc82d01d59414949f726d8fa80ebfb24879f09ff6b3d00"}}