Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:51:55.767498Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2607.19324.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-01T12:51:55.767498Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
88 of 88 outbound references displayed
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Observation c06804b5-8307-464d-a11a-aca83399f1c7 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Openmix+: Revisiting data augmentation for open set recognition,
Reference 1
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Observation 6c911e65-9ed5-4a00-b9af-1f4e3be151e3 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation mixup: Beyond empirical risk minimization,
Reference 2
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Observation e51d2ac4-e98f-439d-b4ab-79abb3f33fc7 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation A survey of mix-based data augmentation: Taxonomy, methods, applications, and explainability,
Reference 3
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Observation 77e97602-9ac2-4752-a934-f397c4002422 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation On mixup regular- ization,
Reference 4
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Observation b1a70020-55cb-4c71-8966-8742e113e0b0 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Dynamic-aware enhanced data augmentation for light field super-resolution,
Reference 5
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Observation 086f74bc-7d40-46b2-941c-b8a478a51e0a · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Guidedmixup: an efficient mixup strategy guided by saliency maps,
Reference 6
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Observation d18b602f-a7d4-423e-b5a8-23c6335d3440 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Puzzle mix: Exploiting saliency and local statistics for optimal mixup,
Reference 7
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Observation 0c71fe6f-8f3d-40f0-bdea-166d1d6f1546 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Co-mixup: Saliency-guided joint mixup with supermodular diversity,
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Observation 5ab062de-021a-4e92-bac5-0832615889e0 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Data augmentation using random image cropping and patching for deep CNNs,
Reference 9
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Observation 5f3116cc-5858-434d-b8b3-5a233be814a9 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Regularizing deep networks with semantic data augmentation,
Reference 10
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Observation 6bb04fcb-17ea-4038-a40e-7388e8001e92 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Token-label alignment for vision transformers,
Reference 11
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Observation 1374f79d-0d67-48a0-ae95-c1dcdbd6ba43 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Enhance image classification via inter-class image mixup with diffusion model,
Reference 12
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Observation 9247b668-7efe-41b9-aa7a-23b29f56d750 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Deep long-tailed learning: A survey,
Reference 13
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Observation 56d9c913-0d7f-480b-94ab-1314d8af523e · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Using mixup as a regularizer can surprisingly improve accuracy & out-of-distribution ro- bustness,
Reference 14
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Observation 1342789a-0049-4c65-9a87-526c90550b8c · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation A Survey on Mixup Augmentations and Beyond
Reference 15
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Observation 7f211051-7cf5-48fc-8649-5f79b5f0beb2 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Domain general- ization: A survey,
Reference 16
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Observation e34afba9-9895-4598-8673-4eb1ebb8ee49 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation A comprehensive survey on source-free domain adaptation,
Reference 17
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Observation 01f218c3-08a7-426b-a9b6-10938e86edfd · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Fine- grained recognition with learnable semantic data augmentation,
Reference 18
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Observation ba9cc0fd-b1d3-43ba-8604-cd5b428307a3 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Lgcoamix: Local and global context-and- object-part-aware superpixel-based data augmentation for deep visual recognition,
Reference 19
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Observation f435a3be-279c-4b28-88ec-6e0d47bb340e · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation PatchMix augmentation to identify causal features in few-shot learning,
Reference 20
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Observation d0c4c1e6-3da7-4238-82c8-95e0a7dc1c40 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Ipmix: Label-preserving data augmentation method for training robust classifiers,
Reference 21
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Observation 3a316d49-c578-42b6-a407-b9e44611d5ec · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
Reference 22
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Observation 8f0c3f90-a60a-4fa0-a55e-c2a54f37e8a0 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Ddb: Diffusion driven balancing to address spurious correlations,
Reference 23
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Observation 9b8e2b91-c230-4b1b-8464-74569844b624 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Ghost: Hallucination-inducing image genera- tion for multimodal llms,
Reference 24
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Observation 04caac23-6624-4a17-bc3e-f859ef0bb05e · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Augmix: A simple data processing method to improve robustness and uncertainty,
Reference 25
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Observation 3a1a644b-bb36-4eaa-9e68-44402fc59cd6 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Manifold mixup: Better representations by interpolat- ing hidden states,
Reference 26
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Observation f67ca60a-405f-4767-9643-ba88d172a36f · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Mergemix: A unified augmentation paradigm for visual and multi-modal understanding,
Reference 27
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Observation cb2237ae-dadf-408f-bee5-ebc1d46a6aaf · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,
Reference 28
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Observation edd5b2c4-983e-47e5-8cd5-23fa4449aeb6 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Alignmixup: Improving representations by interpolating aligned features,
Reference 29
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Observation 9e002b91-19d8-48b2-847e-f3e21546d0dd · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation ResizeMix: Mixing Data with Preserved Object Information and True Labels
Reference 30
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Observation 15993a10-bbe2-4024-99aa-3df25951c53c · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Saliencymix: A saliency guided data augmentation strategy for better regularization,
Reference 31
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Observation 57f0c8c3-3444-41f2-bcad-e2574031b9f8 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Automix: Unveiling the power of mixup for stronger classifiers,
Reference 32
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Observation 8a21fae7-2d78-4fc9-953d-5947da99a6d7 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Adversarial automixup,
Reference 33
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Observation 207b04f7-9225-4d67-8d83-ae0c92fe293b · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation A survey on vision transformer,
Reference 34
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Observation e11dc7ad-104f-4a84-bc55-44a04d836b8c · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Diffusemix: Label-preserving data augmentation with diffusion models,
Reference 35
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Observation 075f68b6-03b2-428c-b925-5f28c73d462f · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Pixmix: Dreamlike pictures comprehensively improve safety measures,
Reference 36
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Observation 636ddd5b-6993-49c7-b4fb-707b88cc32eb · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation $S^{2}$-FracMix: Label-Preserving Self-Saliency Mixup Augmentation
Reference 37
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Observation 46181c86-314a-4117-97b0-c0726e7509f0 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Smoothmix: a simple yet effective data augmentation to train robust classifiers,
Reference 38
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Observation f082a804-7471-44c3-acb0-32952e14517d · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Recursivemix: Mixed learning with history,
Reference 39
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Observation 2dbb6ad1-3c5c-4ce2-80b3-706860a20afb · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Stylemix: Separating content and style for enhanced data augmentation,
Reference 40
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Observation 38340986-f779-4b79-abaa-70a28541d308 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation FMix: Enhancing Mixed Sample Data Augmentation
Reference 41
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Observation ec9d7d0f-ff7c-4f0c-b34e-2543c15ca860 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Gridmix: Strong regularization through local context mapping,
Reference 42
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Observation 5010491f-fe04-46d7-a87b-32eb5324a14a · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Snapmix: Semantically proportional mixing for augmenting fine-grained data,
Reference 43
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Observation 135d06ee-b714-4968-a1f5-77e87acb7b35 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Tokenmix: Rethinking image mixing for data augmentation in vision transformers,
Reference 44
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Observation 18f6ab36-f4f9-4260-8461-1d5baa7800ed · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Mixpro: Data augmentation with maskmix and progressive attention labeling for vision transformer,
Reference 45
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Observation bf4d34bf-134f-47af-b8d5-ee9553df61b8 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Harnessing hard mixed samples with decoupled regularizer,
Reference 46
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Observation 885cc694-2fe6-4bc3-ac3f-56dd05e61178 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Fractal features for texture analysıs,
Reference 47
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Observation 817c4ee5-3e39-4e1e-9258-a50cdda5f78d · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Advmask: A sparse adversarial attack-based data augmentation method for image classifica- tion,
Reference 48
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Observation 381256e0-2dbd-4dba-b3d6-dac353042a41 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Attentive cutmix: An enhanced data augmentation approach for deep learning based image classification,
Reference 49
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Observation f0f6fabe-b35b-4f26-a876-51d0c5d4e20b · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
Reference 50
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Observation f96adde2-cfdb-4f61-a5c8-2ecf67490223 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Su- permix: Supervising the mixing data augmentation,
Reference 51
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Observation 1d14ff56-c43a-4215-afba-83d93dbf71ab · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
Reference 52
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Observation 2e85e454-7849-44bb-a57b-497c78387f2a · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Gradsalmix: Gradient saliency-based mix for image data augmentation,
Reference 53
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Observation 545ab728-57a5-425e-a42e-5097d2511467 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Salfmix: a novel single image- based data augmentation technique using a saliency map,
Reference 54
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Observation 84362168-bc37-4235-b799-9e5c94e693f5 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Context-guided responsible data augmentation with diffusion models,
Reference 55
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Observation 2b2f872d-858c-4101-b4ac-d8bfe5603ddc · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Effective data augmentation with diffusion models,
Reference 56
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Observation eef34d51-822b-4535-9d48-998addb7a9ed · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification
Reference 57
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Observation 5dd01d8f-ce17-4794-b69c-f4f8c7bade2e · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Data augmentation for object detection via controllable diffusion models,
Reference 58
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Observation 434c1dee-d890-4309-8b31-84b52271afa9 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Diffaug: Enhance unsupervised contrastive learning with domain- knowledge-free diffusion-based data augmentation,
Reference 59
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Observation 8d2914bd-adc8-4eb2-8914-47a803b40748 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Genmix: Effective data augmentation with generative diffusion model image editing,
Reference 60
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Observation 16226610-c702-452f-b315-af7e7b8ca095 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Saliency detection: A spectral residual approach,
Reference 61
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Observation 976790a3-7fba-44f9-a017-d71255c955eb · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Mixup as locally linear out-of-manifold regularization,
Reference 62
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Observation 8a374ae4-9586-4a28-a489-f0e3aa45b37f · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Vicinal risk mini- mization,
Reference 63
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Observation f10b2c1b-a20f-46fb-ae7f-b7be2ca86056 · outbound
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Reference 64
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Observation 2fa0da53-d174-4dcd-bb80-547974c4c8f1 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Reference 65
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Observation 9e1d58ef-8cd9-41ff-ba92-719a8f350796 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Imagenet: A large- scale hierarchical image database,
Reference 66
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Observation 915f5624-8865-441b-9733-1c0df274c111 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation The Caltech-UCSD Birds-200-2011 Dataset,
Reference 67
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Observation df20fdc4-ea97-4a83-8074-7e9c88ac9a74 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Fine-Grained Visual Classification of Aircraft
Reference 68
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Observation 73d8906d-0bd1-42e3-b47e-61f7e5c902fc · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation 3d object representations for fine-grained categorization,
Reference 69
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Observation 1e6f7ea2-37d2-4252-b2d6-ffb5c1602667 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Automated flower classification over a large number of classes,
Reference 70
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Observation ce7cf58b-96dc-46cc-af57-8afbe68d6299 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation The pascal visual object classes (voc) challenge,
Reference 71
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Observation f6a15a47-615b-47e2-ad07-cd6f0afc58d7 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Benchmarking neural network ro- bustness to common corruptions and perturbations,
Reference 72
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InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Deep residual learning for image recognition,
Reference 73
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Observation 13448266-36ab-43c7-a554-0c0026fbef82 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Aggregated residual transformations for deep neural networks,
Reference 74
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Observation a8fc0ac2-63b9-4915-b2fe-6951433ed3c3 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 75
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Observation 99c66c01-825a-48e4-8164-55bb5a049e22 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation A convnet for the 2020s,
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Observation 2722a266-816b-4ec1-89c8-cdaf1d99f334 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Improved Baselines with Momentum Contrastive Learning
Reference 77
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Observation 8a2ef31a-a455-4800-ad93-2b4de41a2e19 · outbound
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Reference 78
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InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning
Reference 79
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Observation b2fb81c5-1b21-444f-b943-9950fb8d2265 · outbound
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Reference 80
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Observation 6b426c1f-efe6-4bf8-9e83-cf7efc7d09ea · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Ssd: Single shot multibox detector,
Reference 81
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Observation a1a21650-12fd-4456-95bd-dfeb0494ba15 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Fast r-cnn,
Reference 82
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Observation 340c4e8c-5079-442b-a4ad-3a17668bc186 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Wide residual networks,
Reference 83
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InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Identity mappings in deep residual networks,
Reference 84
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Observation 3606247a-71f7-4359-ac17-6632aea25bfa · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Randomix: A mixed sample data augmentation method with multiple mixed modes,
Reference 85
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Observation 694fe8ce-010a-458c-8ddc-c0e5f54d8691 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Grad-cam: visual explanations from deep networks via gradient-based localization,
Reference 86
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Observation 012d8f96-c73d-4e0d-a68c-fcaa6de100d7 · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Improved Regularization of Convolutional Neural Networks with Cutout
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Observation 3776b056-0c14-4740-a186-1e367f02b33d · outbound
InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Visualizing data using t-sne
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