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OneFormer: One Transformer to Rule Universal Image Segmentation

OneFormer: One Transformer to Rule Universal Image Segmentation

10 November 2022
Jitesh Jain
Jiacheng Li
M. Chiu
Ali Hassani
Nikita Orlov
Humphrey Shi
    ViT
ArXivPDFHTML

Papers citing "OneFormer: One Transformer to Rule Universal Image Segmentation"

5 / 55 papers shown
Title
GroupViT: Semantic Segmentation Emerges from Text Supervision
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu
Shalini De Mello
Sifei Liu
Wonmin Byeon
Thomas Breuel
Jan Kautz
X. Wang
ViT
VLM
177
499
0
22 Feb 2022
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Shilong Liu
Feng Li
Hao Zhang
X. Yang
Xianbiao Qi
Hang Su
Jun Zhu
Lei Zhang
ViT
138
725
0
28 Jan 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 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
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
249
1,821
0
18 Aug 2016
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