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ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy

15 November 2023
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
    CLIP
ArXivPDFHTML

Papers citing "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"

11 / 11 papers shown
Title
Vision-Language Model Selection and Reuse for Downstream Adaptation
Vision-Language Model Selection and Reuse for Downstream Adaptation
Hao-Zhe Tan
Zhi-Hua Zhou
Lan-Zhe Guo
Yu-Feng Li
VLM
91
0
0
30 Jan 2025
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
Adrien Bardes
Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
68
62
0
30 Oct 2023
Does Progress On Object Recognition Benchmarks Improve Real-World
  Generalization?
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
Megan Richards
Polina Kirichenko
Diane Bouchacourt
Mark Ibrahim
VLM
64
11
0
24 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
84
1
0
17 Jul 2023
What Do Self-Supervised Vision Transformers Learn?
What Do Self-Supervised Vision Transformers Learn?
Namuk Park
Wonjae Kim
Byeongho Heo
Taekyung Kim
Sangdoo Yun
SSL
65
76
1
01 May 2023
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
71
19
1
16 Jun 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
7,412
0
11 Nov 2021
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
181
257
0
10 Nov 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
251
618
0
21 May 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip
  Retrieval
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo
Lei Ji
Ming Zhong
Yang Chen
Wen Lei
Nan Duan
Tianrui Li
CLIP
VLM
309
778
0
18 Apr 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
384
142
0
13 Jan 2021
1