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2310.14108
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CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
21 October 2023
Mohammadreza Salehi
Mehrdad Farajtabar
Maxwell Horton
Fartash Faghri
Hadi Pouransari
Raviteja Vemulapalli
Oncel Tuzel
Ali Farhadi
Mohammad Rastegari
Sachin Mehta
CLIP
VLM
Re-assign community
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Papers citing
"CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement"
7 / 7 papers shown
Title
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations
Cheng-Yu Hsieh
Pavan Kumar Anasosalu Vasu
Fartash Faghri
Raviteja Vemulapalli
Chun-Liang Li
Ranjay Krishna
Oncel Tuzel
Hadi Pouransari
VLM
69
0
0
11 Apr 2025
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
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
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
3,683
0
11 Feb 2021
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
166
21,643
0
09 Dec 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
249
1,817
0
18 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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