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Rethinking Atrous Convolution for Semantic Image Segmentation
v1v2v3 (latest)

Rethinking Atrous Convolution for Semantic Image Segmentation

17 June 2017
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
    SSeg
ArXiv (abs)PDFHTML

Papers citing "Rethinking Atrous Convolution for Semantic Image Segmentation"

50 / 2,592 papers shown
Title
CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex
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CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections
Zhen Yao
Jiawei Xu
Shuhang Hou
Mooi Choo Choo Chuah
83
11
0
05 Mar 2024
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Yaoyan Zheng
Hongyu Yang
Di Huang
77
0
0
05 Mar 2024
Is in-domain data beneficial in transfer learning for landmarks
  detection in x-ray images?
Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images?
Roberto Di Via
Matteo Santacesaria
Francesca Odone
Vito Paolo Pastore
58
3
0
03 Mar 2024
Enhancing Retinal Vascular Structure Segmentation in Images With a Novel
  Design Two-Path Interactive Fusion Module Model
Enhancing Retinal Vascular Structure Segmentation in Images With a Novel Design Two-Path Interactive Fusion Module Model
Rui Yang
Shunpu Zhang
89
1
0
03 Mar 2024
TCIG: Two-Stage Controlled Image Generation with Quality Enhancement
  through Diffusion
TCIG: Two-Stage Controlled Image Generation with Quality Enhancement through Diffusion
Salaheldin Mohamed
64
0
0
02 Mar 2024
One model to use them all: Training a segmentation model with
  complementary datasets
One model to use them all: Training a segmentation model with complementary datasets
Alexander C. Jenke
S. Bodenstedt
Fiona Kolbinger
Marius Distler
Jürgen Weitz
Stefanie Speidel
72
4
0
29 Feb 2024
Feature boosting with efficient attention for scene parsing
Feature boosting with efficient attention for scene parsing
Vivek Singh
Shailza Sharma
Fabio Cuzzolin
59
0
0
29 Feb 2024
Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged
  Object Detection
Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection
Ziyun Yang
Kevin Choy
Sina Farsiu
90
0
0
28 Feb 2024
ConSept: Continual Semantic Segmentation via Adapter-based Vision
  Transformer
ConSept: Continual Semantic Segmentation via Adapter-based Vision Transformer
Bowen Dong
Guanglei Yang
W. Zuo
Lei Zhang
93
1
0
26 Feb 2024
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning
  of SAM
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM
Li Zhang
Youwei Liang
Ruiyi Zhang
Amirhosein Javadi
Pengtao Xie
VLM
74
9
0
26 Feb 2024
A Study of Shape Modeling Against Noise
A Study of Shape Modeling Against Noise
Cheng Long
Adrian Barbu
MedIm
41
0
0
23 Feb 2024
AutoMMLab: Automatically Generating Deployable Models from Language
  Instructions for Computer Vision Tasks
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
Zekang Yang
Wang Zeng
Sheng Jin
Chao Qian
Ping Luo
Wentao Liu
MLLMVLM
106
10
0
23 Feb 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial
  Training
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
Yihao Zhang
Hangzhou He
Jingyu Zhu
Huanran Chen
Yifei Wang
Zeming Wei
AAML
127
15
0
23 Feb 2024
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for
  Cloud Detection and Segmentation in Remote Sensing Imagery
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
Loddo Fabio
Dario Piga
Umberto Michelucci
El Ghazouali Safouane
94
1
0
21 Feb 2024
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey
Fabio Tosi
Youming Zhang
Ziren Gong
Erik Sandström
S. Mattoccia
Martin R. Oswald
Matteo Poggi
3DGS
208
64
0
20 Feb 2024
LangXAI: Integrating Large Vision Models for Generating Textual
  Explanations to Enhance Explainability in Visual Perception Tasks
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks
Truong Thanh Hung Nguyen
Tobias Clement
Phuc Truong Loc Nguyen
Nils Kemmerzell
Van Binh Truong
V. Nguyen
Mohamed Abdelaal
Hung Cao
VLM
89
10
0
19 Feb 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction
  Cascades: A Case Study on Image Segmentation
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Bharat Srikishan
Anika Tabassum
S. Allu
Ramakrishnan Kannan
Nikhil Muralidhar
141
1
0
19 Feb 2024
On Good Practices for Task-Specific Distillation of Large Pretrained
  Visual Models
On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models
Juliette Marrie
Michael Arbel
Julien Mairal
Diane Larlus
VLMMQ
94
1
0
17 Feb 2024
Hybridnet for depth estimation and semantic segmentation
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Dalila Sánchez-Escobedo
Xiao Lin
J. Casas
M. Pardàs
SSegMDE
128
9
0
09 Feb 2024
Early Fusion of Features for Semantic Segmentation
Early Fusion of Features for Semantic Segmentation
Anupam Gupta
Ashok Krishnamurthy
Lisa Singh
SSeg
70
0
0
08 Feb 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic
  Surgery
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery
Mengya Xu
Mobarakol Islam
Long Bai
Hongliang Ren
76
6
0
08 Feb 2024
On the Effect of Image Resolution on Semantic Segmentation
On the Effect of Image Resolution on Semantic Segmentation
Ritambhara Singh
Abhishek Jain
Pietro Perona
Shivani Agarwal
Junfeng Yang
SSeg
64
1
0
08 Feb 2024
Multi-Scale Semantic Segmentation with Modified MBConv Blocks
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Xi Chen
Yang Cai
Yuan Wu
Bo Xiong
Taesung Park
SSeg
76
0
0
07 Feb 2024
Joint Attention-Guided Feature Fusion Network for Saliency Detection of
  Surface Defects
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Xiaoheng Jiang
Feng Yan
Yang Lu
K. Wang
Shuai Guo
Tianzhu Zhang
Yanwei Pang
Jianwei Niu
Mingliang Xu
61
19
0
05 Feb 2024
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation
Yurui Chen
Jing Zhang
Ziyang Xie
Wenye Li
Feihu Zhang
Jiachen Lu
Li Zhang
254
12
0
03 Feb 2024
Delving into Decision-based Black-box Attacks on Semantic Segmentation
Delving into Decision-based Black-box Attacks on Semantic Segmentation
Zhaoyu Chen
Zhengyang Shan
Jingwen Chang
Kaixun Jiang
Dingkang Yang
Yiting Cheng
Wenqiang Zhang
AAML
63
0
0
02 Feb 2024
TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven
  Image Fusion Network
TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network
Yuchan Jie
Yushen Xu
Xiaosong Li
Haishu Tan
69
7
0
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Scale Equalization for Multi-Level Feature Fusion
Scale Equalization for Multi-Level Feature Fusion
Bum Jun Kim
Sang Woo Kim
28
1
0
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Convolution Meets LoRA: Parameter Efficient Finetuning for Segment
  Anything Model
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
Zihan Zhong
Zhiqiang Tang
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Haoyang Fang
Chun Yuan
104
49
0
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SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition
SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition
Xu Hu
Yuxi Wang
Lue Fan
Junsong Fan
Junran Peng
Zhen Lei
Qing Li
Zhaoxiang Zhang
Zhaoxiang Zhang
3DGS
173
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An objective comparison of methods for augmented reality in laparoscopic
  liver resection by preoperative-to-intraoperative image fusion
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion
Sharib Ali
Yamid Espinel
Yueming Jin
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Bianca Güttner
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Micha Pfeiffer
Shahid Farid
Lena Maier-Hein
E. Buc
Adrien Bartoli
113
16
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SERNet-Former: Semantic Segmentation by Efficient Residual Network with
  Attention-Boosting Gates and Attention-Fusion Networks
SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks
Serdar Erişen
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115
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0
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Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
Diandian Guo
Deng-Ping Fan
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62
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The Machine Vision Iceberg Explained: Advancing Dynamic Testing by
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69
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SSR: SAM is a Strong Regularizer for domain adaptive semantic
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SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation
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48
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Machine Learning for Shipwreck Segmentation from Side Scan Sonar
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Machine Learning for Shipwreck Segmentation from Side Scan Sonar Imagery: Dataset and Benchmark
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CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of
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Multi-Object Navigation in real environments using hybrid policies
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109
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DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained
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Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
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254
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Collaborative Position Reasoning Network for Referring Image
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Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive
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S$^3$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching
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Yi Feng
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Fisher Yu
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113
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OMG-Seg: Is One Model Good Enough For All Segmentation?
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A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask
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XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
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Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes
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