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Vision Transformer Adapter for Dense Predictions

Vision Transformer Adapter for Dense Predictions

17 May 2022
Zhe Chen
Yuchen Duan
Wenhai Wang
Junjun He
Tong Lu
Jifeng Dai
Yu Qiao
ArXivPDFHTML

Papers citing "Vision Transformer Adapter for Dense Predictions"

50 / 120 papers shown
Title
SeMask: Semantically Masked Transformers for Semantic Segmentation
SeMask: Semantically Masked Transformers for Semantic Segmentation
Jitesh Jain
Anukriti Singh
Nikita Orlov
Zilong Huang
Jiachen Li
Steven Walton
Humphrey Shi
ViT
68
97
0
23 Dec 2021
A Simple Single-Scale Vision Transformer for Object Localization and
  Instance Segmentation
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation
Wuyang Chen
Xianzhi Du
Fan Yang
Lucas Beyer
Xiaohua Zhai
...
Huizhong Chen
Jing Li
Xiaodan Song
Zhangyang Wang
Denny Zhou
ViT
68
22
0
17 Dec 2021
VL-Adapter: Parameter-Efficient Transfer Learning for
  Vision-and-Language Tasks
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung
Jaemin Cho
Joey Tianyi Zhou
VLM
VPVLM
105
354
0
13 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
248
2,364
0
02 Dec 2021
MViTv2: Improved Multiscale Vision Transformers for Classification and
  Detection
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
Yanghao Li
Chaoxia Wu
Haoqi Fan
K. Mangalam
Bo Xiong
Jitendra Malik
Christoph Feichtenhofer
ViT
146
690
0
02 Dec 2021
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception
  for Zero-shot and Few-shot Tasks
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
Xizhou Zhu
Jinguo Zhu
Hao Li
Xiaoshi Wu
Xiaogang Wang
Hongsheng Li
Xiaohua Wang
Jifeng Dai
104
133
0
02 Dec 2021
Benchmarking Detection Transfer Learning with Vision Transformers
Benchmarking Detection Transfer Learning with Vision Transformers
Yanghao Li
Saining Xie
Xinlei Chen
Piotr Dollar
Kaiming He
Ross B. Girshick
69
168
0
22 Nov 2021
Swin Transformer V2: Scaling Up Capacity and Resolution
Swin Transformer V2: Scaling Up Capacity and Resolution
Ze Liu
Han Hu
Yutong Lin
Zhuliang Yao
Zhenda Xie
...
Yue Cao
Zheng Zhang
Li Dong
Furu Wei
B. Guo
ViT
209
1,813
0
18 Nov 2021
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
460
7,757
0
11 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang
Rongyao Fang
Wei Zhang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
265
400
0
06 Nov 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLM
CLIP
287
1,042
0
09 Oct 2021
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with
  Transformers
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers
Zhiqi Li
Wenhai Wang
Enze Xie
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
Tong Lu
ViT
134
140
0
08 Sep 2021
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Shihua Huang
Zhichao Lu
Ran Cheng
Cheng He
40
207
0
16 Aug 2021
CSWin Transformer: A General Vision Transformer Backbone with
  Cross-Shaped Windows
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong
Jianmin Bao
Dongdong Chen
Weiming Zhang
Nenghai Yu
Lu Yuan
Dong Chen
B. Guo
ViT
145
982
0
01 Jul 2021
Focal Self-attention for Local-Global Interactions in Vision
  Transformers
Focal Self-attention for Local-Global Interactions in Vision Transformers
Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Xiyang Dai
Bin Xiao
Lu Yuan
Jianfeng Gao
ViT
78
435
0
01 Jul 2021
CBNet: A Composite Backbone Network Architecture for Object Detection
CBNet: A Composite Backbone Network Architecture for Object Detection
Tingting Liang
Xiao Chu
Yudong Liu
Yongtao Wang
Zhi Tang
Wei Chu
Jingdong Chen
Haibin Ling
ObjD
53
163
0
01 Jul 2021
PVT v2: Improved Baselines with Pyramid Vision Transformer
PVT v2: Improved Baselines with Pyramid Vision Transformer
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
AI4TS
103
1,667
0
25 Jun 2021
Video Swin Transformer
Video Swin Transformer
Ze Liu
Jia Ning
Yue Cao
Yixuan Wei
Zheng Zhang
Stephen Lin
Han Hu
ViT
100
1,482
0
24 Jun 2021
P2T: Pyramid Pooling Transformer for Scene Understanding
P2T: Pyramid Pooling Transformer for Scene Understanding
Yu-Huan Wu
Yun-Hai Liu
Xin Zhan
Mingg-Ming Cheng
ViT
85
230
0
22 Jun 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision
  Transformers
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Steiner
Alexander Kolesnikov
Xiaohua Zhai
Ross Wightman
Jakob Uszkoreit
Lucas Beyer
ViT
107
633
0
18 Jun 2021
XCiT: Cross-Covariance Image Transformers
XCiT: Cross-Covariance Image Transformers
Alaaeldin El-Nouby
Hugo Touvron
Mathilde Caron
Piotr Bojanowski
Matthijs Douze
...
Ivan Laptev
Natalia Neverova
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
ViT
136
511
0
17 Jun 2021
Dynamic Head: Unifying Object Detection Heads with Attentions
Dynamic Head: Unifying Object Detection Heads with Attentions
Xiyang Dai
Yinpeng Chen
Bin Xiao
Dongdong Chen
Mengchen Liu
Lu Yuan
Lei Zhang
66
582
0
15 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
268
2,826
0
15 Jun 2021
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
Zilong Huang
Youcheng Ben
Guozhong Luo
Pei Cheng
Gang Yu
Bin-Bin Fu
ViT
66
183
0
07 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
285
5,030
0
31 May 2021
Segmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
Robin Strudel
Ricardo Garcia Pinel
Ivan Laptev
Cordelia Schmid
ViT
203
1,467
0
12 May 2021
Conformer: Local Features Coupling Global Representations for Visual
  Recognition
Conformer: Local Features Coupling Global Representations for Visual Recognition
Zhiliang Peng
Wei Huang
Shanzhi Gu
Lingxi Xie
Yaowei Wang
Jianbin Jiao
QiXiang Ye
ViT
63
543
0
09 May 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
82
1,020
0
28 Apr 2021
Going deeper with Image Transformers
Going deeper with Image Transformers
Hugo Touvron
Matthieu Cord
Alexandre Sablayrolles
Gabriel Synnaeve
Hervé Jégou
ViT
154
1,014
0
31 Mar 2021
CvT: Introducing Convolutions to Vision Transformers
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
ViT
152
1,910
0
29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
447
21,439
0
25 Mar 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
136
1,734
0
24 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
194
1,015
0
04 Mar 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
391
1,565
0
27 Feb 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
927
29,436
0
26 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
527
3,724
0
24 Feb 2021
Conditional Positional Encodings for Vision Transformers
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu
Zhi Tian
Bo Zhang
Xinlong Wang
Chunhua Shen
ViT
80
616
0
22 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
194
2,898
0
31 Dec 2020
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
384
6,768
0
23 Dec 2020
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
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
290
991
0
13 Dec 2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Pei Sun
Rufeng Zhang
Yi Jiang
Tao Kong
Chenfeng Xu
...
Masayoshi Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
Ping Luo
ObjD
93
1,097
0
25 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
654
41,103
0
22 Oct 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
218
5,080
0
08 Oct 2020
TIDE: A General Toolbox for Identifying Object Detection Errors
TIDE: A General Toolbox for Identifying Object Detection Errors
Daniel Bolya
Sean Foley
James Hays
Judy Hoffman
76
195
0
18 Aug 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding
  Boxes for Dense Object Detection
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Xiang Li
Wenhai Wang
Lijun Wu
Shuo Chen
Xiaolin Hu
Jun Li
Jinhui Tang
Jian Yang
ObjD
71
1,199
0
08 Jun 2020
Hierarchical Multi-Scale Attention for Semantic Segmentation
Hierarchical Multi-Scale Attention for Semantic Segmentation
Andrew Tao
Karan Sapra
Bryan Catanzaro
SSeg
73
452
0
21 May 2020
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
160
1,546
0
05 Dec 2019
InstaBoost: Boosting Instance Segmentation via Probability Map Guided
  Copy-Pasting
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
Haoshu Fang
Jianhua Sun
Runzhong Wang
Minghao Gou
Yong-Lu Li
Cewu Lu
ISeg
55
210
0
21 Aug 2019
Benchmarking the Robustness of Semantic Segmentation Models
Benchmarking the Robustness of Semantic Segmentation Models
Christoph Kamann
Carsten Rother
VLM
UQCV
53
165
0
14 Aug 2019
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai
Nuno Vasconcelos
ObjD
79
1,356
0
24 Jun 2019
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