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AMD-HookNet for Glacier Front Segmentation

AMD-HookNet for Glacier Front Segmentation

6 February 2023
Fei Wu
Nora Gourmelon
T. Seehaus
Jianlin Zhang
M. Braun
Andreas Maier
Vincent Christlein
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Papers citing "AMD-HookNet for Glacier Front Segmentation"

30 / 30 papers shown
Title
MPViT: Multi-Path Vision Transformer for Dense Prediction
MPViT: Multi-Path Vision Transformer for Dense Prediction
Youngwan Lee
Jonghee Kim
Jeffrey Willette
Sung Ju Hwang
ViT
53
247
0
21 Dec 2021
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Liting Lin
Heng Fan
Zhipeng Zhang
Yong-mei Xu
Haibin Ling
ViT
58
306
0
02 Dec 2021
SOFT: Softmax-free Transformer with Linear Complexity
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu
Jinghan Yao
Junge Zhang
Martin Danelljan
Hang Xu
Weiguo Gao
Chunjing Xu
Thomas B. Schon
Li Zhang
51
163
0
22 Oct 2021
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale
  Attention
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang
Lulian Yao
Long Chen
Binbin Lin
Deng Cai
Xiaofei He
Wei Liu
133
260
0
31 Jul 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
121
508
0
17 Jun 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
371
21,175
0
25 Mar 2021
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the
  Antarctic Coastline
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
Konrad Heidler
Lichao Mou
C. Baumhoer
A. Dietz
Xiaoxiang Zhu
97
113
0
02 Mar 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
469
3,678
0
24 Feb 2021
Glacier Calving Front Segmentation Using Attention U-Net
Glacier Calving Front Segmentation Using Attention U-Net
M. Holzmann
Amirabbas Davari
T. Seehaus
M. Braun
Andreas Maier
Vincent Christlein
41
21
0
08 Jan 2021
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
333
6,657
0
23 Dec 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
464
40,217
0
22 Oct 2020
Towards Fully 8-bit Integer Inference for the Transformer Model
Towards Fully 8-bit Integer Inference for the Transformer Model
Ye Lin
Yanyang Li
Tengbo Liu
Tong Xiao
Tongran Liu
Jingbo Zhu
MQ
35
62
0
17 Sep 2020
HookNet: multi-resolution convolutional neural networks for semantic
  segmentation in histopathology whole-slide images
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
Mart van Rijthoven
M. Balkenhol
Karina Silina
Jeroen van der Laak
F. Ciompi
SSeg
49
156
0
22 Jun 2020
Attention in Natural Language Processing
Attention in Natural Language Processing
Andrea Galassi
Marco Lippi
Paolo Torroni
GNN
53
471
0
04 Feb 2019
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Yue Liu
Wei Wu
Qiang Wang
Fangyi Zhang
Junliang Xing
Junjie Yan
ViT
66
1,799
0
31 Dec 2018
An Introductory Survey on Attention Mechanisms in NLP Problems
An Introductory Survey on Attention Mechanisms in NLP Problems
Dichao Hu
AIMat
57
247
0
12 Nov 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
191
16,337
0
17 Jul 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
246
13,051
0
07 Feb 2018
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language
  Understanding
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Tao Shen
Dinesh Manocha
Guodong Long
Jing Jiang
Shirui Pan
Chengqi Zhang
46
753
0
14 Sep 2017
Generalised Wasserstein Dice Score for Imbalanced Multi-class
  Segmentation using Holistic Convolutional Networks
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks
Lucas Fidon
Wenqi Li
Luis C. Garcia-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Vercauteren
SSeg
53
149
0
03 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
185
8,425
0
17 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
526
129,831
0
12 Jun 2017
Dilated Residual Networks
Dilated Residual Networks
Feng Yu
V. Koltun
Thomas Funkhouser
MedIm
117
1,617
0
28 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,747
0
17 Apr 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
429
21,951
0
09 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.4K
76,547
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
307
2,229
0
18 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.2K
99,991
0
04 Sep 2014
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