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Position: Do Not Explain Vision Models Without Context

Position: Do Not Explain Vision Models Without Context

28 April 2024
Paulina Tomaszewska
Przemysław Biecek
ArXivPDFHTML

Papers citing "Position: Do Not Explain Vision Models Without Context"

5 / 5 papers shown
Title
Holistic Evaluation of Text-To-Image Models
Holistic Evaluation of Text-To-Image Models
Tony Lee
Michihiro Yasunaga
Chenlin Meng
Yifan Mai
Joon Sung Park
...
Jun-Yan Zhu
Fei-Fei Li
Jiajun Wu
Stefano Ermon
Percy Liang
136
124
0
07 Nov 2023
DALL-Eval: Probing the Reasoning Skills and Social Biases of
  Text-to-Image Generation Models
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
Jaemin Cho
Abhaysinh Zala
Mohit Bansal
ViT
132
167
0
08 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
154
3,574
0
09 Dec 2016
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