{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:W5G5LFEXFBH4VGQ5OU4OHA5IQ2","short_pith_number":"pith:W5G5LFEX","canonical_record":{"source":{"id":"1708.02731","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-09T06:43:51Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"a28d58586f41a4ce9f6adaa067c64c0de029e0f8d74b9474abe4c63eda17e0d7","abstract_canon_sha256":"9588b4fc8a7311cd20f33fc6f94dd84616ea298260938c4b248095d2889ddbcb"},"schema_version":"1.0"},"canonical_sha256":"b74dd59497284fca9a1d7538e383a8869df0fccd2f888450c0cc1560c08b78bb","source":{"kind":"arxiv","id":"1708.02731","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.02731","created_at":"2026-05-17T23:53:58Z"},{"alias_kind":"arxiv_version","alias_value":"1708.02731v1","created_at":"2026-05-17T23:53:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.02731","created_at":"2026-05-17T23:53:58Z"},{"alias_kind":"pith_short_12","alias_value":"W5G5LFEXFBH4","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"W5G5LFEXFBH4VGQ5","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"W5G5LFEX","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:W5G5LFEXFBH4VGQ5OU4OHA5IQ2","target":"record","payload":{"canonical_record":{"source":{"id":"1708.02731","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-09T06:43:51Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"a28d58586f41a4ce9f6adaa067c64c0de029e0f8d74b9474abe4c63eda17e0d7","abstract_canon_sha256":"9588b4fc8a7311cd20f33fc6f94dd84616ea298260938c4b248095d2889ddbcb"},"schema_version":"1.0"},"canonical_sha256":"b74dd59497284fca9a1d7538e383a8869df0fccd2f888450c0cc1560c08b78bb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:58.084161Z","signature_b64":"gUDl6R8ZZAttpYF5UWTYi4H/5ZPeXc0FRcoXiSpR6zsC0P+ve/57BNaHtlbXII21LTzkFuwKmdJIlQKwC9HoBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b74dd59497284fca9a1d7538e383a8869df0fccd2f888450c0cc1560c08b78bb","last_reissued_at":"2026-05-17T23:53:58.083473Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:58.083473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.02731","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":"2026-05-17T23:53:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9YxXS8Lr1mmvMT1RW8ZlwSS+1JNIeD+7GikWFvcjN8XWvltMdweAL9QewZK4AYhj5vgbHCVEqzUpllhXX4a2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T22:29:23.280141Z"},"content_sha256":"965f154a9c2542364fa15ae7cf0b8709acafaf0c3ade28a1936aed5aaf5b227c","schema_version":"1.0","event_id":"sha256:965f154a9c2542364fa15ae7cf0b8709acafaf0c3ade28a1936aed5aaf5b227c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:W5G5LFEXFBH4VGQ5OU4OHA5IQ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Donghyeon Cho, In So Kweon, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai","submitted_at":"2017-08-09T06:43:51Z","abstract_excerpt":"This paper proposes a weakly- and self-supervised deep convolutional neural network (WSSDCNN) for content-aware image retargeting. Our network takes a source image and a target aspect ratio, and then directly outputs a retargeted image. Retargeting is performed through a shift map, which is a pixel-wise mapping from the source to the target grid. Our method implicitly learns an attention map, which leads to a content-aware shift map for image retargeting. As a result, discriminative parts in an image are preserved, while background regions are adjusted seamlessly. In the training phase, pairs "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.02731","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":"2026-05-17T23:53:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+WBVQfH4llQqS0FfTgwkrMM8PkFbUEeg4YJPpPgjo1jzPcv/RLAjNQcV1a4Cx8UfyUdDGw1+T3Y7NFVRu9TKBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T22:29:23.280832Z"},"content_sha256":"f7e1f5e60306c5d0bc15835d0008a1a6ae960bea348c6752323b0c51424eae82","schema_version":"1.0","event_id":"sha256:f7e1f5e60306c5d0bc15835d0008a1a6ae960bea348c6752323b0c51424eae82"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W5G5LFEXFBH4VGQ5OU4OHA5IQ2/bundle.json","state_url":"https://pith.science/pith/W5G5LFEXFBH4VGQ5OU4OHA5IQ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W5G5LFEXFBH4VGQ5OU4OHA5IQ2/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":"2026-06-10T22:29:23Z","links":{"resolver":"https://pith.science/pith/W5G5LFEXFBH4VGQ5OU4OHA5IQ2","bundle":"https://pith.science/pith/W5G5LFEXFBH4VGQ5OU4OHA5IQ2/bundle.json","state":"https://pith.science/pith/W5G5LFEXFBH4VGQ5OU4OHA5IQ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W5G5LFEXFBH4VGQ5OU4OHA5IQ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:W5G5LFEXFBH4VGQ5OU4OHA5IQ2","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":"9588b4fc8a7311cd20f33fc6f94dd84616ea298260938c4b248095d2889ddbcb","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-09T06:43:51Z","title_canon_sha256":"a28d58586f41a4ce9f6adaa067c64c0de029e0f8d74b9474abe4c63eda17e0d7"},"schema_version":"1.0","source":{"id":"1708.02731","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.02731","created_at":"2026-05-17T23:53:58Z"},{"alias_kind":"arxiv_version","alias_value":"1708.02731v1","created_at":"2026-05-17T23:53:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.02731","created_at":"2026-05-17T23:53:58Z"},{"alias_kind":"pith_short_12","alias_value":"W5G5LFEXFBH4","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"W5G5LFEXFBH4VGQ5","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"W5G5LFEX","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:f7e1f5e60306c5d0bc15835d0008a1a6ae960bea348c6752323b0c51424eae82","target":"graph","created_at":"2026-05-17T23:53:58Z","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 proposes a weakly- and self-supervised deep convolutional neural network (WSSDCNN) for content-aware image retargeting. Our network takes a source image and a target aspect ratio, and then directly outputs a retargeted image. Retargeting is performed through a shift map, which is a pixel-wise mapping from the source to the target grid. Our method implicitly learns an attention map, which leads to a content-aware shift map for image retargeting. As a result, discriminative parts in an image are preserved, while background regions are adjusted seamlessly. In the training phase, pairs ","authors_text":"Donghyeon Cho, In So Kweon, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-09T06:43:51Z","title":"Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.02731","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":"sha256:965f154a9c2542364fa15ae7cf0b8709acafaf0c3ade28a1936aed5aaf5b227c","target":"record","created_at":"2026-05-17T23:53:58Z","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":"9588b4fc8a7311cd20f33fc6f94dd84616ea298260938c4b248095d2889ddbcb","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-09T06:43:51Z","title_canon_sha256":"a28d58586f41a4ce9f6adaa067c64c0de029e0f8d74b9474abe4c63eda17e0d7"},"schema_version":"1.0","source":{"id":"1708.02731","kind":"arxiv","version":1}},"canonical_sha256":"b74dd59497284fca9a1d7538e383a8869df0fccd2f888450c0cc1560c08b78bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b74dd59497284fca9a1d7538e383a8869df0fccd2f888450c0cc1560c08b78bb","first_computed_at":"2026-05-17T23:53:58.083473Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:58.083473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gUDl6R8ZZAttpYF5UWTYi4H/5ZPeXc0FRcoXiSpR6zsC0P+ve/57BNaHtlbXII21LTzkFuwKmdJIlQKwC9HoBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:58.084161Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.02731","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:965f154a9c2542364fa15ae7cf0b8709acafaf0c3ade28a1936aed5aaf5b227c","sha256:f7e1f5e60306c5d0bc15835d0008a1a6ae960bea348c6752323b0c51424eae82"],"state_sha256":"460eb656323798796777aa3f9e7575d6fd10af69801bfe7072c50409d0e98635"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sRLyLFPr5w+f74/314xawdTI0Q6rp3tWwnWQm2az15pdiSZ78H/fBvnC71uENAUsQ2XtxjJEUOT/RHEVh4z3BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T22:29:23.284655Z","bundle_sha256":"468526bbb534df076b3a43be3f4da89a34b566f2f35de2bf96f0d60a3d650fed"}}