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Multi-Scale Context Aggregation by Dilated Convolutions

Multi-Scale Context Aggregation by Dilated Convolutions

23 November 2015
Feng Yu
V. Koltun
    SSeg
ArXivPDFHTML

Papers citing "Multi-Scale Context Aggregation by Dilated Convolutions"

50 / 1,523 papers shown
Title
Global Aggregation then Local Distribution for Scene Parsing
Global Aggregation then Local Distribution for Scene Parsing
Xiangtai Li
Li Zhang
Guangliang Cheng
Kuiyuan Yang
Yunhai Tong
Xiatian Zhu
Tao Xiang
21
16
0
28 Jul 2021
Content-aware Directed Propagation Network with Pixel Adaptive Kernel
  Attention
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
M. Sagong
Yoon-Jae Yeo
Seung‐Won Jung
Sung-Jea Ko
29
2
0
28 Jul 2021
AASeg: Attention Aware Network for Real Time Semantic Segmentation
Abhinav Sagar
SSeg
22
1
0
27 Jul 2021
Log-Polar Space Convolution for Convolutional Neural Networks
Log-Polar Space Convolution for Convolutional Neural Networks
Fuchun Sun
Ji-Rong Wen
19
1
0
26 Jul 2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic
  Segmentation: A Baseline Investigation
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He
Jihan Yang
Xiaojuan Qi
15
115
0
23 Jul 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying
  Unexpected Road Obstacles in Urban-Scene Segmentation
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Sanghun Jung
Jungsoo Lee
Daehoon Gwak
Sungha Choi
Jaegul Choo
35
93
0
23 Jul 2021
Adaptive Dilated Convolution For Human Pose Estimation
Adaptive Dilated Convolution For Human Pose Estimation
Zhengxiong Luo
Zhicheng Wang
Yan Huang
Liang Wang
Tieniu Tan
Erjin Zhou
3DH
18
3
0
22 Jul 2021
CycleMLP: A MLP-like Architecture for Dense Prediction
CycleMLP: A MLP-like Architecture for Dense Prediction
Shoufa Chen
Enze Xie
Chongjian Ge
Runjian Chen
Ding Liang
Ping Luo
33
231
0
21 Jul 2021
Approximation Theory of Convolutional Architectures for Time Series
  Modelling
Approximation Theory of Convolutional Architectures for Time Series Modelling
Haotian Jiang
Zhong Li
Qianxiao Li
AI4TS
21
11
0
20 Jul 2021
Double Similarity Distillation for Semantic Image Segmentation
Double Similarity Distillation for Semantic Image Segmentation
Yingchao Feng
Xian Sun
Wenhui Diao
Jihao Li
Xin Gao
24
62
0
19 Jul 2021
AS-MLP: An Axial Shifted MLP Architecture for Vision
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian
Zehao Yu
Xing Sun
Shenghua Gao
30
189
0
18 Jul 2021
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
Chaojian Li
Wuyang Chen
Yuchen Gu
Tianlong Chen
Yonggan Fu
Zhangyang Wang
Yingyan Lin
35
0
0
16 Jul 2021
A Generalized Framework for Edge-preserving and Structure-preserving
  Image Smoothing
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
Wei Liu
Pingping Zhang
Yinjie Lei
Xiaolin Huang
Jie Yang
Michael K. Ng
28
83
0
15 Jul 2021
DVMN: Dense Validity Mask Network for Depth Completion
DVMN: Dense Validity Mask Network for Depth Completion
Laurenz Reichardt
Patrick Mangat
Oliver Wasenmüller
41
6
0
14 Jul 2021
Visual Parser: Representing Part-whole Hierarchies with Transformers
Visual Parser: Representing Part-whole Hierarchies with Transformers
Shuyang Sun
Xiaoyu Yue
S. Bai
Philip Torr
50
27
0
13 Jul 2021
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction
A. Salehi
M. Balasubramanian
MDE
21
14
0
09 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
32
144
0
09 Jul 2021
COMBO: a new module for EUD parsing
COMBO: a new module for EUD parsing
Mateusz Klimaszewski
Alina Wróblewska
MoE
25
4
0
08 Jul 2021
A new smart-cropping pipeline for prostate segmentation using deep
  learning networks
A new smart-cropping pipeline for prostate segmentation using deep learning networks
D. Zaridis
E. Mylona
Nikolaos S. Tachos
K. Marias
N. Papanikolaou
Manolis Tsiknakis
D. Fotiadis
MedIm
26
6
0
06 Jul 2021
Integrating Large Circular Kernels into CNNs through Neural Architecture
  Search
Integrating Large Circular Kernels into CNNs through Neural Architecture Search
Kun He
Chao Li
Yixiao Yang
Gao Huang
J. Hopcroft
42
10
0
06 Jul 2021
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from
  UAV Images
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images
Ming Hong
Shuiwang Li
Yuchao Yang
Feiyu Zhu
Qijun Zhao
Li Lu
ObjD
27
86
0
04 Jul 2021
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Yunhe Gao
Mu Zhou
Dimitris N. Metaxas
MedIm
ViT
13
425
0
02 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels
Mattia Segu
Tao Sun
Luca Sieber
Luc Van Gool
Feng Yu
Federico Tombari
UQCV
27
60
0
01 Jul 2021
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense
  Top-View Understanding
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
Kunyu Peng
Juncong Fei
Kailun Yang
Alina Roitberg
Jiaming Zhang
Frank Bieder
Philipp Heidenreich
Christoph Stiller
Rainer Stiefelhagen
3DPC
35
43
0
01 Jul 2021
Multi-objective Evolutionary Approach for Efficient Kernel Size and
  Shape for CNN
Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN
Ziwei Wang
Martin A. Trefzer
S. Bale
Andy M. Tyrrell
15
0
0
28 Jun 2021
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid
  Deformable Convolution and Deblurring-Reblurring Consistency
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
Dong Huo
Abbas Masoumzadeh
Yee-Hong Yang
16
7
0
27 Jun 2021
Memory Guided Road Detection
Memory Guided Road Detection
Praveen Venkatesh
Rwik Rana
Varun Jain
18
0
0
27 Jun 2021
Semi-supervised Semantic Segmentation with Directional Context-aware
  Consistency
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai
Zhuotao Tian
Li Jiang
Shu Liu
Hengshuang Zhao
Liwei Wang
Jiaya Jia
50
207
0
27 Jun 2021
ATP-Net: An Attention-based Ternary Projection Network For Compressed
  Sensing
ATP-Net: An Attention-based Ternary Projection Network For Compressed Sensing
Guanxiong Nie
Yajian Zhou
25
0
0
24 Jun 2021
Transformer Meets Convolution: A Bilateral Awareness Network for
  Semantic Segmentation of Very Fine Resolution Urban Scene Images
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images
Libo Wang
Rui Li
Dongzhi Wang
Chenxi Duan
Teng Wang
Xiaoliang Meng
ViT
32
146
0
23 Jun 2021
Image Inpainting Using Wasserstein Generative Adversarial Imputation
  Network
Image Inpainting Using Wasserstein Generative Adversarial Imputation Network
Daniel Vasata
Tomás Halama
Magda Friedjungová
GAN
11
9
0
23 Jun 2021
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in
  the Wild
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
Yiming Lin
Jie Shen
Yujiang Wang
Maja Pantic
CVBM
27
31
0
21 Jun 2021
Shuffle Transformer with Feature Alignment for Video Face Parsing
Shuffle Transformer with Feature Alignment for Video Face Parsing
Rui Zhang
Yang Han
Zilong Huang
Pei Cheng
Guozhong Luo
Gang Yu
Bin-Bin Fu
CVBM
ViT
33
1
0
16 Jun 2021
Wavelength-based Attributed Deep Neural Network for Underwater Image
  Restoration
Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration
Prasen Kumar Sharma
Ira Bisht
Arijit Sur
29
103
0
15 Jun 2021
Training Graph Neural Networks with 1000 Layers
Training Graph Neural Networks with 1000 Layers
Guohao Li
Matthias Muller
Guohao Li
V. Koltun
GNN
AI4CE
51
235
0
14 Jun 2021
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Gal Greshler
Tamar Rott Shaham
T. Michaeli
18
25
0
11 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to
  previously unseen scales
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
Ylva Jansson
T. Lindeberg
13
23
0
11 Jun 2021
CAT: Cross Attention in Vision Transformer
CAT: Cross Attention in Vision Transformer
Hezheng Lin
Xingyi Cheng
Xiangyu Wu
Fan Yang
Dong Shen
Zhongyuan Wang
Qing Song
Wei Yuan
ViT
35
149
0
10 Jun 2021
Resolution learning in deep convolutional networks using scale-space
  theory
Resolution learning in deep convolutional networks using scale-space theory
Silvia L.Pintea
Nergis Tomen
Stanley F. Goes
Marco Loog
Jan van Gemert
SupR
SSL
32
37
0
07 Jun 2021
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Yufei Xu
Qiming Zhang
Jing Zhang
Dacheng Tao
ViT
65
330
0
07 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip Torr
UQCV
48
84
0
06 Jun 2021
Glance-and-Gaze Vision Transformer
Glance-and-Gaze Vision Transformer
Qihang Yu
Yingda Xia
Yutong Bai
Yongyi Lu
Alan Yuille
Wei Shen
ViT
33
75
0
04 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
50
4,855
0
31 May 2021
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation
  Task
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
Darwin Saire
Adín Ramirez Rivera
28
5
0
28 May 2021
Receptive Field Regularization Techniques for Audio Classification and
  Tagging with Deep Convolutional Neural Networks
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks
Khaled Koutini
Hamid Eghbalzadeh
Gerhard Widmer
33
46
0
26 May 2021
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional
  Neural Networks
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks
Sami Barchid
José Mennesson
Chaabane Djéraba
3DV
SSeg
33
12
0
25 May 2021
VS-Net: Voting with Segmentation for Visual Localization
VS-Net: Voting with Segmentation for Visual Localization
Zhaoyang Huang
Han Zhou
Yijin Li
Bangbang Yang
Yan Xu
Xiaowei Zhou
Hujun Bao
Guofeng Zhang
Hongsheng Li
3DPC
22
43
0
23 May 2021
Hyper-Convolution Networks for Biomedical Image Segmentation
Hyper-Convolution Networks for Biomedical Image Segmentation
Tianyu Ma
Adrian Dalca
M. Sabuncu
SSeg
36
15
0
21 May 2021
EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds
EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds
Leilei Cao
Yao Xiao
Lin Xu
CVBM
19
3
0
21 May 2021
Temporal convolutional networks predict dynamic oxygen uptake response
  from wearable sensors across exercise intensities
Temporal convolutional networks predict dynamic oxygen uptake response from wearable sensors across exercise intensities
Robert Amelard
E. Hedge
R. Hughson
17
17
0
20 May 2021
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