ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.05587
  4. Cited By
Rethinking Atrous Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

17 June 2017
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
    SSeg
ArXivPDFHTML

Papers citing "Rethinking Atrous Convolution for Semantic Image Segmentation"

50 / 1,085 papers shown
Title
COVID-view: Diagnosis of COVID-19 using Chest CT
COVID-view: Diagnosis of COVID-19 using Chest CT
Shreeraj Jadhav
Gaofeng Deng
M. Zawin
Arie Kaufman
51
18
0
09 Aug 2021
One-Shot Object Affordance Detection in the Wild
One-Shot Object Affordance Detection in the Wild
Wei Zhai
Hongcheng Luo
Jing Zhang
Yang Cao
Dacheng Tao
79
44
0
08 Aug 2021
An EM Framework for Online Incremental Learning of Semantic Segmentation
An EM Framework for Online Incremental Learning of Semantic Segmentation
Shipeng Yan
Jiale Zhou
Jiangwei Xie
Songyang Zhang
Xuming He
CLL
27
40
0
08 Aug 2021
Semantic Segmentation and Object Detection Towards Instance
  Segmentation: Breast Tumor Identification
Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification
Mohamed Mejri
Aymen Mejri
Oumayma Mejri
C. Fekih
30
0
0
06 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu
Sen He
Xiatian Zhu
Li Zhang
Yi-Zhe Song
Tao Xiang
ViT
171
173
0
06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu
Xiangxi Shi
Guosheng lin
Jianfei Cai
VLM
75
108
0
06 Aug 2021
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local
  and Global Features
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Min Yang
Dongliang He
M. Fan
Baorong Shi
Xuetong Xue
Fu Li
Errui Ding
Jizhou Huang
55
94
0
06 Aug 2021
Disentangled Lifespan Face Synthesis
Disentangled Lifespan Face Synthesis
Sen He
Wentong Liao
M. Yang
Yi-Zhe Song
Bodo Rosenhahn
Tao Xiang
CVBM
39
28
0
05 Aug 2021
Attention-based fusion of semantic boundary and non-boundary information
  to improve semantic segmentation
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation
Jefferson Fontinele
Gabriel Lefundes
Luciano Oliveira
39
0
0
05 Aug 2021
LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean
  Front Detection
LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection
Cui Xie
Hao Guo
Junyu Dong
22
9
0
05 Aug 2021
Global and Local Texture Randomization for Synthetic-to-Real Semantic
  Segmentation
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
Duo Peng
Yinjie Lei
Lingqiao Liu
Pingping Zhang
Jun Liu
25
73
0
05 Aug 2021
Dynamic Feature Regularized Loss for Weakly Supervised Semantic
  Segmentation
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Bingfeng Zhang
Jimin Xiao
Yao Zhao
33
13
0
03 Aug 2021
Learning Maritime Obstacle Detection from Weak Annotations by
  Scaffolding
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding
Lojze Žust
Matej Kristan
UQCV
30
10
0
01 Aug 2021
Edge-competing Pathological Liver Vessel Segmentation with Limited
  Labels
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
Zunlei Feng
Zhonghua Wang
Xinchao Wang
Jing Zhang
Lechao Cheng
Jie Lei
Yuexuan Wang
Xiuming Zhang
35
14
0
01 Aug 2021
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal
  Learning in Domain Adaptation for 3D Semantic Segmentation
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
Duo Peng
Yinjie Lei
Wen Li
Pingping Zhang
Yulan Guo
32
60
0
30 Jul 2021
Dynamic Neural Representational Decoders for High-Resolution Semantic
  Segmentation
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
Bowen Zhang
Yifan Liu
Zhi Tian
Chunhua Shen
SSeg
16
14
0
30 Jul 2021
Open-World Entity Segmentation
Open-World Entity Segmentation
Lu Qi
Jason Kuen
Yi Wang
Jiuxiang Gu
Hengshuang Zhao
Zhe Lin
Philip Torr
Jiaya Jia
OCL
SSeg
VLM
42
80
0
29 Jul 2021
A Unified Efficient Pyramid Transformer for Semantic Segmentation
A Unified Efficient Pyramid Transformer for Semantic Segmentation
Fangrui Zhu
Yi Zhu
Li Zhang
Chongruo Wu
Yanwei Fu
Mu Li
ViT
29
29
0
29 Jul 2021
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++,
  Conditional Random Field and Test-Time Augmentation
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
Debesh Jha
P. Smedsrud
Dag Johansen
Thomas de Lange
H. Johansen
Pål Halvorsen
Michael A. Riegler
31
222
0
26 Jul 2021
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
Giuseppe Vecchio
S. Palazzo
C. Spampinato
GAN
19
37
0
23 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
AUGCO: Augmentation Consistency-guided Self-training for Source-free
  Domain Adaptive Semantic Segmentation
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
TTA
31
21
0
21 Jul 2021
All the attention you need: Global-local, spatial-channel attention for
  image retrieval
All the attention you need: Global-local, spatial-channel attention for image retrieval
Chull Hwan Song
Hye Joo Han
Yannis Avrithis
18
39
0
16 Jul 2021
Class-Agnostic Segmentation Loss and Its Application to Salient Object
  Detection and Segmentation
Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
Angira Sharma
Naeemullah Khan
Muhammad Mubashar
G. Sundaramoorthi
Philip Torr
26
6
0
16 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
NeoUNet: Towards accurate colon polyp segmentation and neoplasm
  detection
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection
P. N. Lan
N. S. An
D. V. Hang
D. Long
T. Trung
N. T. Thuy
D. V. Sang
138
69
0
11 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
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
Taehun Kim
Hyemin Lee
Daijin Kim
EgoV
30
251
0
06 Jul 2021
Deep Semantic Segmentation at the Edge for Autonomous Navigation in
  Vineyard Rows
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows
Diego Aghi
Simone Cerrato
Vittorio Mazzia
Marcello Chiaberge
36
29
0
01 Jul 2021
DivergentNets: Medical Image Segmentation by Network Ensemble
DivergentNets: Medical Image Segmentation by Network Ensemble
Vajira Thambawita
Steven A. Hicks
Pål Halvorsen
Michael A. Riegler
16
23
0
01 Jul 2021
Content-Aware Convolutional Neural Networks
Content-Aware Convolutional Neural Networks
Yong Guo
Yaofo Chen
Mingkui Tan
Kui Jia
Jian Chen
Jingdong Wang
36
8
0
30 Jun 2021
Striking the Right Balance: Recall Loss for Semantic Segmentation
Striking the Right Balance: Recall Loss for Semantic Segmentation
Junjiao Tian
Niluthpol Chowdhury Mithun
Zachary Seymour
Han-Pang Chiu
Z. Kira
11
31
0
28 Jun 2021
K-Net: Towards Unified Image Segmentation
K-Net: Towards Unified Image Segmentation
Wenwei Zhang
Jiangmiao Pang
Kai-xiang Chen
Chen Change Loy
ISeg
32
358
0
28 Jun 2021
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Zihao Zhang
Shaozuo Yu
Siwei Yang
Yu Zhou
Bingchen Zhao
25
11
0
28 Jun 2021
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image
  Classification
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification
Di Wang
Bo Du
Lefei Zhang
21
20
0
26 Jun 2021
Probabilistic Attention for Interactive Segmentation
Probabilistic Attention for Interactive Segmentation
Prasad Gabbur
Manjot Bilkhu
J. Movellan
36
13
0
23 Jun 2021
DeepLab2: A TensorFlow Library for Deep Labeling
DeepLab2: A TensorFlow Library for Deep Labeling
Mark Weber
Huiyu Wang
Siyuan Qiao
Jun Xie
Maxwell D. Collins
...
Laura Leal-Taixe
Alan Yuille
Florian Schroff
Hartwig Adam
Liang-Chieh Chen
VLM
29
47
0
17 Jun 2021
A White Paper on Neural Network Quantization
A White Paper on Neural Network Quantization
Markus Nagel
Marios Fournarakis
Rana Ali Amjad
Yelysei Bondarenko
M. V. Baalen
Tijmen Blankevoort
MQ
36
510
0
15 Jun 2021
Part-aware Panoptic Segmentation
Part-aware Panoptic Segmentation
Daan de Geus
Panagiotis Meletis
Chenyang Lu
Xiaoxiao Wen
Gijs Dubbelman
49
60
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
Rethinking Space-Time Networks with Improved Memory Coverage for
  Efficient Video Object Segmentation
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ho Kei Cheng
Yu-Wing Tai
Chi-Keung Tang
VOS
48
280
0
09 Jun 2021
OODIn: An Optimised On-Device Inference Framework for Heterogeneous
  Mobile Devices
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices
Stylianos I. Venieris
Ioannis Panopoulos
I. Venieris
44
14
0
08 Jun 2021
Fully Transformer Networks for Semantic Image Segmentation
Fully Transformer Networks for Semantic Image Segmentation
Sitong Wu
Tianyi Wu
Fangjian Lin
Sheng Tian
Guodong Guo
ViT
34
39
0
08 Jun 2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic
  Segmentation
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Bingfeng Zhang
Jimin Xiao
Jianbo Jiao
Yunchao Wei
Yao-Min Zhao
33
95
0
08 Jun 2021
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Takashi Isobe
Xu Jia
Shuaijun Chen
Jianzhong He
Yongjie Shi
Jian-zhuo Liu
Huchuan Lu
Shengjin Wang
35
85
0
07 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
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
Semantic Palette: Guiding Scene Generation with Class Proportions
Semantic Palette: Guiding Scene Generation with Class Proportions
G. L. Moing
Tuan-Hung Vu
Himalaya Jain
P. Pérez
Matthieu Cord
32
16
0
03 Jun 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
Previous
123...121314...202122
Next