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Leaving Reality to Imagination: Robust Classification via Generated
  Datasets

Leaving Reality to Imagination: Robust Classification via Generated Datasets

5 February 2023
Hritik Bansal
Aditya Grover
    OOD
ArXivPDFHTML

Papers citing "Leaving Reality to Imagination: Robust Classification via Generated Datasets"

19 / 19 papers shown
Title
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
Rupayan Mallick
Sibo Dong
Nataniel Ruiz
Sarah Adel Bargal
DiffM
32
0
0
08 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
59
0
0
16 Mar 2025
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
Sudarshan Rajagopalan
Nithin Gopalakrishnan Nair
Jay N. Paranjape
Vishal M. Patel
DiffM
81
0
0
26 Nov 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
Salma Abdel Magid
Weiwei Pan
Simon Warchol
Grace Guo
Junsik Kim
Mahia Rahman
Hanspeter Pfister
84
0
0
06 Oct 2024
ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
Xiaomin Lin
Vivek Mange
Arjun Suresh
Bernhard Neuberger
Aadi Palnitkar
...
Alhim Vera
Markus Vincze
Ioannis Rekleitis
Herbert G. Tanner
Yiannis Aloimonos
21
2
0
11 Sep 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Eyal Michaeli
Ohad Fried
30
1
0
20 Jun 2024
Stable Diffusion-based Data Augmentation for Federated Learning with
  Non-IID Data
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
19
5
0
13 May 2024
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Aboli Rajan Marathe
VLM
30
0
0
27 Nov 2023
Image Captions are Natural Prompts for Text-to-Image Models
Image Captions are Natural Prompts for Text-to-Image Models
Shiye Lei
Hao Chen
Senyang Zhang
Bo-Lu Zhao
Dacheng Tao
VLM
6
19
0
17 Jul 2023
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image
  Generation
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Yuval Kirstain
Adam Polyak
Uriel Singer
Shahbuland Matiana
Joe Penna
Omer Levy
EGVM
152
345
0
02 May 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang
Han Zhang
Jarred Barber
AJ Maschinot
José Lezama
...
Kevin Patrick Murphy
William T. Freeman
Michael Rubinstein
Yuanzhen Li
Dilip Krishnan
DiffM
197
515
0
02 Jan 2023
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori
Tatsunori B. Hashimoto
61
42
0
08 Sep 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel
Hritik Bansal
S. Bhatia
Ryan A. Rossi
Vishwa Vinay
Aditya Grover
CLIP
VLM
160
131
0
28 May 2022
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
154
676
0
22 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
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