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Paper Citation Record · LEDGER

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation

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.

pith.paper-citation-record.v1
2607.19324 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:51:55.767498Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

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Reference resolution

88 of 88 outbound references displayed

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Outbound references

Observation c06804b5-8307-464d-a11a-aca83399f1c7 · outbound

This paper cites Openmix+: Revisiting data augmentation for open set recognition,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Openmix+: Revisiting data augmentation for open set recognition,

Reference 1

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source=pdf_text observed=2026-08-01T12:51:47.884377Z digest=sha256:a9fe1c1b7aed6db31e54521eda6b6788ae4cf59c747af0cedd01720062c9b3f8

Observation 6c911e65-9ed5-4a00-b9af-1f4e3be151e3 · outbound

This paper cites mixup: Beyond empirical risk minimization,.

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

This paper cites A survey of mix-based data augmentation: Taxonomy, methods, applications, and explainability,.

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

This paper cites On mixup regular- ization,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation On mixup regular- ization,

Reference 4

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source=pdf_text observed=2026-08-01T12:51:48.085909Z digest=sha256:1a4e443557680e222acce50d6caa80a9d4a72646a12fb3a3f1bea8bbf9343121

Observation b1a70020-55cb-4c71-8966-8742e113e0b0 · outbound

This paper cites Dynamic-aware enhanced data augmentation for light field super-resolution,.

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

This paper cites Guidedmixup: an efficient mixup strategy guided by saliency maps,.

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

This paper cites Puzzle mix: Exploiting saliency and local statistics for optimal mixup,.

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

This paper cites Co-mixup: Saliency-guided joint mixup with supermodular diversity,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Co-mixup: Saliency-guided joint mixup with supermodular diversity,

Reference 8

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Observation 5ab062de-021a-4e92-bac5-0832615889e0 · outbound

This paper cites Data augmentation using random image cropping and patching for deep CNNs,.

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

This paper cites Regularizing deep networks with semantic data augmentation,.

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

This paper cites Token-label alignment for vision transformers,.

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

This paper cites Enhance image classification via inter-class image mixup with diffusion model,.

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

This paper cites Deep long-tailed learning: A survey,.

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

This paper cites Using mixup as a regularizer can surprisingly improve accuracy & out-of-distribution ro- bustness,.

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

This paper cites A Survey on Mixup Augmentations and Beyond.

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

This paper cites Domain general- ization: A survey,.

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

This paper cites A comprehensive survey on source-free domain adaptation,.

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

This paper cites Fine- grained recognition with learnable semantic data augmentation,.

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

This paper cites Lgcoamix: Local and global context-and- object-part-aware superpixel-based data augmentation for deep visual recognition,.

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

This paper cites PatchMix augmentation to identify causal features in few-shot learning,.

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

This paper cites Ipmix: Label-preserving data augmentation method for training robust classifiers,.

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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source=pdf_text observed=2026-08-01T12:51:49.210138Z digest=sha256:d7be957b9b3c3d7d3b792040211243f4976da15dee8bd7cfdb9c0160427c4e47

Observation 3a316d49-c578-42b6-a407-b9e44611d5ec · outbound

This paper cites CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping.

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

This paper cites Ddb: Diffusion driven balancing to address spurious correlations,.

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

This paper cites Ghost: Hallucination-inducing image genera- tion for multimodal llms,.

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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source=pdf_text observed=2026-08-01T12:51:49.415998Z digest=sha256:35ff913c1f8d03dd49759386ffbab1a7c102d9668dbfb8639c7d7e22b196b2ce

Observation 04caac23-6624-4a17-bc3e-f859ef0bb05e · outbound

This paper cites Augmix: A simple data processing method to improve robustness and uncertainty,.

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

This paper cites Manifold mixup: Better representations by interpolat- ing hidden states,.

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

This paper cites Mergemix: A unified augmentation paradigm for visual and multi-modal understanding,.

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

This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

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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source=pdf_text observed=2026-08-01T12:51:49.698270Z digest=sha256:e24f3e4a7a8bd1baac2c4f5198e2eb575040773a30c6709d086b5e9abde6629b

Observation edd5b2c4-983e-47e5-8cd5-23fa4449aeb6 · outbound

This paper cites Alignmixup: Improving representations by interpolating aligned features,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Alignmixup: Improving representations by interpolating aligned features,

Reference 29

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source=pdf_text observed=2026-08-01T12:51:49.752635Z digest=sha256:41e858f986dd5370ace867aa58731040ea0220b9123fef8986a501d7db1cabcb

Observation 9e002b91-19d8-48b2-847e-f3e21546d0dd · outbound

This paper cites ResizeMix: Mixing Data with Preserved Object Information and True Labels.

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

This paper cites Saliencymix: A saliency guided data augmentation strategy for better regularization,.

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

This paper cites Automix: Unveiling the power of mixup for stronger classifiers,.

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

This paper cites Adversarial automixup,.

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

This paper cites A survey on vision transformer,.

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

This paper cites Diffusemix: Label-preserving data augmentation with diffusion models,.

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

This paper cites Pixmix: Dreamlike pictures comprehensively improve safety measures,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Pixmix: Dreamlike pictures comprehensively improve safety measures,

Reference 36

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source=pdf_text observed=2026-08-01T12:51:50.271707Z digest=sha256:bd9948cfb323302218be682c8391e7d1f68647d573968f6d5e34bd68f8efa42b

Observation 636ddd5b-6993-49c7-b4fb-707b88cc32eb · outbound

This paper cites $S^{2}$-FracMix: Label-Preserving Self-Saliency Mixup Augmentation.

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

This paper cites Smoothmix: a simple yet effective data augmentation to train robust classifiers,.

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

This paper cites Recursivemix: Mixed learning with history,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Recursivemix: Mixed learning with history,

Reference 39

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source=pdf_text observed=2026-08-01T12:51:50.504313Z digest=sha256:62b1a958374f3ea48a1c895ea422f9f772a88f86d4fee7dcea73d3c2152b56d1

Observation 2dbb6ad1-3c5c-4ce2-80b3-706860a20afb · outbound

This paper cites Stylemix: Separating content and style for enhanced data augmentation,.

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

This paper cites FMix: Enhancing Mixed Sample Data Augmentation.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation FMix: Enhancing Mixed Sample Data Augmentation

Reference 41

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source=pdf_text observed=2026-08-01T12:51:50.634758Z digest=sha256:5c1dd9b02ab02bb7f72e6ad8a35b28843a3c03a917275a2a9d58b0a2465945b3

Observation ec9d7d0f-ff7c-4f0c-b34e-2543c15ca860 · outbound

This paper cites Gridmix: Strong regularization through local context mapping,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Gridmix: Strong regularization through local context mapping,

Reference 42

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source=pdf_text observed=2026-08-01T12:51:50.720399Z digest=sha256:15d45fa1242a740c8e6aec61c157b94661fb3f10b33b53397f6aa542fab3809a

Observation 5010491f-fe04-46d7-a87b-32eb5324a14a · outbound

This paper cites Snapmix: Semantically proportional mixing for augmenting fine-grained data,.

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

This paper cites Tokenmix: Rethinking image mixing for data augmentation in vision transformers,.

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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source=pdf_text observed=2026-08-01T12:51:50.864475Z digest=sha256:a7c2469c479b69319283a4ac6c5312ebf4841b642ff061c21914125885e1e074

Observation 18f6ab36-f4f9-4260-8461-1d5baa7800ed · outbound

This paper cites Mixpro: Data augmentation with maskmix and progressive attention labeling for vision transformer,.

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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source=pdf_text observed=2026-08-01T12:51:50.968430Z digest=sha256:0af4ce150660fcba648c941c1135a7663645f521364e714703c5c407498b44f4

Observation bf4d34bf-134f-47af-b8d5-ee9553df61b8 · outbound

This paper cites Harnessing hard mixed samples with decoupled regularizer,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Harnessing hard mixed samples with decoupled regularizer,

Reference 46

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source=pdf_text observed=2026-08-01T12:51:51.086094Z digest=sha256:438c13ca0977f42f7ce63f18d713dc6722ac1e0a16395ecdbb3151a0c5051e4c

Observation 885cc694-2fe6-4bc3-ac3f-56dd05e61178 · outbound

This paper cites Fractal features for texture analysıs,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Fractal features for texture analysıs,

Reference 47

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source=pdf_text observed=2026-08-01T12:51:51.190106Z digest=sha256:ae1d85d94a9d7ab45367f285680393ea57ae9065e2d3c283c4e23786be55053c

Observation 817c4ee5-3e39-4e1e-9258-a50cdda5f78d · outbound

This paper cites Advmask: A sparse adversarial attack-based data augmentation method for image classifica- tion,.

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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source=pdf_text observed=2026-08-01T12:51:51.287583Z digest=sha256:d0147db299625136b1b29ac09484019955adc1caa6cc769b1ee525aeee4973e7

Observation 381256e0-2dbd-4dba-b3d6-dac353042a41 · outbound

This paper cites Attentive cutmix: An enhanced data augmentation approach for deep learning based image classification,.

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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source=pdf_text observed=2026-08-01T12:51:51.403714Z digest=sha256:3ae4b556d46bef5a3ac3c837be4b6f907612e8a80f6b795d8b5a46ae790d1a27

Observation f0f6fabe-b35b-4f26-a876-51d0c5d4e20b · outbound

This paper cites Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup.

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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source=pdf_text observed=2026-08-01T12:51:51.499039Z digest=sha256:8b1d684361d2a77a97b3c4ce6dfcb9b8f79ce5512b200693efce39af584414b5

Observation f96adde2-cfdb-4f61-a5c8-2ecf67490223 · outbound

This paper cites Su- permix: Supervising the mixing data augmentation,.

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

This paper cites Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing.

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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source=pdf_text observed=2026-08-01T12:51:51.773351Z digest=sha256:3ebb6ccd74528c10818c1d023c7c7d749dbb169c620ec77ebca9da0b7f30bfde

Observation 2e85e454-7849-44bb-a57b-497c78387f2a · outbound

This paper cites Gradsalmix: Gradient saliency-based mix for image data augmentation,.

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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source=pdf_text observed=2026-08-01T12:51:51.881354Z digest=sha256:e18a74a123af711fd027f1f2bb724b22a4ffb3db695302d33195ebcbe14fab4c

Observation 545ab728-57a5-425e-a42e-5097d2511467 · outbound

This paper cites Salfmix: a novel single image- based data augmentation technique using a saliency map,.

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

This paper cites Context-guided responsible data augmentation with diffusion models,.

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

This paper cites Effective data augmentation with diffusion models,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Effective data augmentation with diffusion models,

Reference 56

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source=pdf_text observed=2026-08-01T12:51:52.311756Z digest=sha256:7b2246d4e45e7f54da80fb99ba6b91aeac0f5df27d4a83996faa44ddd4376ae5

Observation eef34d51-822b-4535-9d48-998addb7a9ed · outbound

This paper cites Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification.

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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source=pdf_text observed=2026-08-01T12:51:52.425665Z digest=sha256:55cd52704e502196ac4ea7dc924dc7b05c4c0e53fd683dfb2852525f76ffc46a

Observation 5dd01d8f-ce17-4794-b69c-f4f8c7bade2e · outbound

This paper cites Data augmentation for object detection via controllable diffusion models,.

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

This paper cites Diffaug: Enhance unsupervised contrastive learning with domain- knowledge-free diffusion-based data augmentation,.

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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source=pdf_text observed=2026-08-01T12:51:52.596948Z digest=sha256:0cdede4f1f2a7e3e4b8c4f1063977aaf5e06f39d9bc1e4b84f329d4c6e94c3a4

Observation 8d2914bd-adc8-4eb2-8914-47a803b40748 · outbound

This paper cites Genmix: Effective data augmentation with generative diffusion model image editing,.

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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source=pdf_text observed=2026-08-01T12:51:52.708600Z digest=sha256:99ffa6930535e54a94932d8d18eabceca338373e0b58c731728032dedf53edf8

Observation 16226610-c702-452f-b315-af7e7b8ca095 · outbound

This paper cites Saliency detection: A spectral residual approach,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Saliency detection: A spectral residual approach,

Reference 61

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source=pdf_text observed=2026-08-01T12:51:52.824512Z digest=sha256:68c43bc7ec8255b952841543230dd9d90c770c96521e02bc66f997e3f9ad2ee2

Observation 976790a3-7fba-44f9-a017-d71255c955eb · outbound

This paper cites Mixup as locally linear out-of-manifold regularization,.

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

This paper cites Vicinal risk mini- mization,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Vicinal risk mini- mization,

Reference 63

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source=pdf_text observed=2026-08-01T12:51:53.056414Z digest=sha256:41b1575ca72ee90d0e928b7ef03f1dd4f52401e4c5a82005bdc0628778b9d894

Observation f10b2c1b-a20f-46fb-ae7f-b7be2ca86056 · outbound

This paper cites Learning multiple layers of features from tiny images,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Learning multiple layers of features from tiny images,

Reference 64

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Observation 2fa0da53-d174-4dcd-bb80-547974c4c8f1 · outbound

This paper cites A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets.

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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source=pdf_text observed=2026-08-01T12:51:53.313681Z digest=sha256:21038c592f4af1a0d74894be2ef88c899657fc72c17d0e4fba0c783c5b2fd166

Observation 9e1d58ef-8cd9-41ff-ba92-719a8f350796 · outbound

This paper cites Imagenet: A large- scale hierarchical image database,.

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

This paper cites The Caltech-UCSD Birds-200-2011 Dataset,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation The Caltech-UCSD Birds-200-2011 Dataset,

Reference 67

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source=pdf_text observed=2026-08-01T12:51:53.643909Z digest=sha256:3f06affc759123a5e36f6bcf4803e2e50d236def55164ff6cf28fdb5056c799f

Observation df20fdc4-ea97-4a83-8074-7e9c88ac9a74 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

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

This paper cites 3d object representations for fine-grained categorization,.

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

This paper cites Automated flower classification over a large number of classes,.

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

This paper cites The pascal visual object classes (voc) challenge,.

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

This paper cites Benchmarking neural network ro- bustness to common corruptions and perturbations,.

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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source=pdf_text observed=2026-08-01T12:51:54.237565Z digest=sha256:9fff537937717c1d07e8e89930cdc6dc6ac527fa21d9e6e53e9749e27cf4d481

Observation 20d91198-54ff-4590-bccc-2c6939f04df2 · outbound

This paper cites Deep residual learning for image recognition,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Deep residual learning for image recognition,

Reference 73

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source=pdf_text observed=2026-08-01T12:51:54.354782Z digest=sha256:2acac8e13fb1b2b84b58689fe8bf728281a124a188fe1340f5327e0836722447

Observation 13448266-36ab-43c7-a554-0c0026fbef82 · outbound

This paper cites Aggregated residual transformations for deep neural networks,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Aggregated residual transformations for deep neural networks,

Reference 74

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source=pdf_text observed=2026-08-01T12:51:54.597459Z digest=sha256:9213df3d416db8cdc115fc76bf007f5f439fb0dae2d42db9ab83b8c0f4d18b2a

Observation a8fc0ac2-63b9-4915-b2fe-6951433ed3c3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 75

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source=pdf_text observed=2026-08-01T12:51:54.716546Z digest=sha256:e888c074f81d79f9b977435862bd0f4d1367a9e5bce6cdd537ae02434dc25b79

Observation 99c66c01-825a-48e4-8164-55bb5a049e22 · outbound

This paper cites A convnet for the 2020s,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation A convnet for the 2020s,

Reference 76

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Observation 2722a266-816b-4ec1-89c8-cdaf1d99f334 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Improved Baselines with Momentum Contrastive Learning

Reference 77

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source=pdf_text observed=2026-08-01T12:51:54.987850Z digest=sha256:e138df1f3bef87af1cd596e3d990ab07671d556c408cac0b132a951b20ca6732

Observation 8a2ef31a-a455-4800-ad93-2b4de41a2e19 · outbound

This paper cites Exploring simple siamese representation learning,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Exploring simple siamese representation learning,

Reference 78

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source=pdf_text observed=2026-08-01T12:51:55.081159Z digest=sha256:4da0d8abbf91147e15125547110286ea62e691bc863919b393a0e65d623a2841

Observation 428bd07f-b37c-4b2c-87ff-3d82c5b10359 · outbound

This paper cites OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning.

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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source=pdf_text observed=2026-08-01T12:51:55.194821Z digest=sha256:404b7879bfda1e531fe363ebbd008f1e7fc2b8292e846c63aa9997a55c7f2adb

Observation b2fb81c5-1b21-444f-b943-9950fb8d2265 · outbound

This paper cites You only cut once: Boosting data augmentation with a single cut,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation You only cut once: Boosting data augmentation with a single cut,

Reference 80

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source=pdf_text observed=2026-08-01T12:51:55.287590Z digest=sha256:c89f6d436057ee6ebccea81da1cceaae3856a91bf989d0dd56977d0945e2ed83

Observation 6b426c1f-efe6-4bf8-9e83-cf7efc7d09ea · outbound

This paper cites Ssd: Single shot multibox detector,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Ssd: Single shot multibox detector,

Reference 81

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source=pdf_text observed=2026-08-01T12:51:55.345428Z digest=sha256:f9b6a3b8065ef1d98e4c788673407017b57ef5d297f0e4e288ec403efc388424

Observation a1a21650-12fd-4456-95bd-dfeb0494ba15 · outbound

This paper cites Fast r-cnn,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Fast r-cnn,

Reference 82

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source=pdf_text observed=2026-08-01T12:51:55.392684Z digest=sha256:a2e8e0a788acc6f7f28476891b031fbb31181e02efdeacd6295f2e941129f814

Observation 340c4e8c-5079-442b-a4ad-3a17668bc186 · outbound

This paper cites Wide residual networks,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Wide residual networks,

Reference 83

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source=pdf_text observed=2026-08-01T12:51:55.475274Z digest=sha256:30590c7fc8057cad72838ee5c795d77d87d16951d2ce4c631fff66518a890e4d

Observation d359ede5-a7a7-4aac-a656-8fe5fdbe7c2a · outbound

This paper cites Identity mappings in deep residual networks,.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Identity mappings in deep residual networks,

Reference 84

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source=pdf_text observed=2026-08-01T12:51:55.528472Z digest=sha256:12fb4be5f08925643a6e13464e0c3581d68a37fb0f09e39f21728d4af675d523

Observation 3606247a-71f7-4359-ac17-6632aea25bfa · outbound

This paper cites Randomix: A mixed sample data augmentation method with multiple mixed modes,.

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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source=pdf_text observed=2026-08-01T12:51:55.582231Z digest=sha256:5522e31f5870480963c1cd2c64654040b044da00bf42a0f8c0fcb2778df5a3f1

Observation 694fe8ce-010a-458c-8ddc-c0e5f54d8691 · outbound

This paper cites Grad-cam: visual explanations from deep networks via gradient-based localization,.

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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source=pdf_text observed=2026-08-01T12:51:55.637638Z digest=sha256:ec48122a9a1acfefbd979965e8c7d79b2b5b48ad9c7800b2f8b20ae7482cf93b

Observation 012d8f96-c73d-4e0d-a68c-fcaa6de100d7 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Improved Regularization of Convolutional Neural Networks with Cutout

Reference 87

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source=pdf_text observed=2026-08-01T12:51:55.714161Z digest=sha256:3d80d7ac923c988889cf78c6ae06e495b0328bbc6e1b442daa5a399bfbe8275a

Observation 3776b056-0c14-4740-a186-1e367f02b33d · outbound

This paper cites Visualizing data using t-sne.

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation Visualizing data using t-sne

Reference 88

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source=pdf_text observed=2026-08-01T12:51:55.767498Z digest=sha256:5d81d60fd288ea39c42d1c5cd64d2acbb3d9ca847fa18d2be2f693f1feb15464

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