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Detecting Twenty-thousand Classes using Image-level Supervision

Detecting Twenty-thousand Classes using Image-level Supervision

7 January 2022
Xingyi Zhou
Rohit Girdhar
Armand Joulin
Phillip Krahenbuhl
Ishan Misra
    CLIP
    VLM
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Papers citing "Detecting Twenty-thousand Classes using Image-level Supervision"

3 / 103 papers shown
Title
MosaicOS: A Simple and Effective Use of Object-Centric Images for
  Long-Tailed Object Detection
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjD
VLM
69
39
0
17 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
223
962
0
13 Dec 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
239
455
0
11 Mar 2020
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