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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
v1v2v3 (latest)

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2 November 2015
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
    SSeg
ArXiv (abs)PDFHTML

Papers citing "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"

50 / 2,601 papers shown
Title
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive
  Survey
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey
Zhenyu Wu
Fengmao Lv
Chenglizhao Chen
Aimin Hao
Shuo Li
ELM
97
11
0
22 Jan 2024
Edge-Enabled Real-time Railway Track Segmentation
Edge-Enabled Real-time Railway Track Segmentation
Chenglin Chen
Wang Fei
Yang Min
Qin Yong
Bai Yun
101
1
0
21 Jan 2024
S$^3$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching
  for Autonomous Driving
S3^33M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving
Zhiyuan Wu
Yi Feng
Chuangwei Liu
Fisher Yu
Qijun Chen
Rui Fan
113
13
0
21 Jan 2024
Explanations of Classifiers Enhance Medical Image Segmentation via
  End-to-end Pre-training
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training
Jiamin Chen
Xuhong Li
Yanwu Xu
Jundong Li
Haoyi Xiong
72
2
0
16 Jan 2024
S3M: Semantic Segmentation Sparse Mapping for UAVs with RGB-D Camera
S3M: Semantic Segmentation Sparse Mapping for UAVs with RGB-D Camera
Thanh Nguyen Canh
Van-Truong Nguyen
Xiem HoangVan
A. Elibol
N. Chong
72
6
0
16 Jan 2024
Semantic Scene Segmentation for Robotics
Semantic Scene Segmentation for Robotics
Juana Valeria Hurtado
Abhinav Valada
VLMSSeg
111
27
0
15 Jan 2024
MatSAM: Efficient Extraction of Microstructures of Materials via Visual
  Large Model
MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model
Changtai Li
Xu Han
Chao Yao
Xiaojuan Ban
49
2
0
11 Jan 2024
A comprehensive survey of research towards AI-enabled unmanned aerial
  systems in pre-, active-, and post-wildfire management
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni
Abolfazl Razi
Sahand Khoshdel
Fatemeh Afghah
J. Coen
Leo ONeill
Peter Z Fulé
Adam Watts
Nick-Marios T. Kokolakis
K. Vamvoudakis
60
67
0
04 Jan 2024
Context-Aware Interaction Network for RGB-T Semantic Segmentation
Context-Aware Interaction Network for RGB-T Semantic Segmentation
Ying Lv
Zhi Liu
Gongyang Li
77
37
0
03 Jan 2024
Similar but Different: A Survey of Ground Segmentation and
  Traversability Estimation for Terrestrial Robots
Similar but Different: A Survey of Ground Segmentation and Traversability Estimation for Terrestrial Robots
Hyungae Lim
Mi-Suk Oh
Seungjae Lee
Seunguk Ahn
Hyun Myung
71
4
0
28 Dec 2023
SPnet: Estimating Garment Sewing Patterns from a Single Image
SPnet: Estimating Garment Sewing Patterns from a Single Image
Seungchan Lim
Sumin Kim
Sung-Hee Lee
3DH
87
3
0
26 Dec 2023
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph
  Clustering
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
Haili Ye
Xiaoqing Zhang
Yan Hu
Huazhu Fu
Jiang-Dong Liu
111
4
0
20 Dec 2023
SLP-Net:An efficient lightweight network for segmentation of skin
  lesions
SLP-Net:An efficient lightweight network for segmentation of skin lesions
Bo Yang
Hong Peng
Chenggang Guo
Xiaohui Luo
Jun Wang
Xianzhong Long
62
1
0
20 Dec 2023
Open Vocabulary Semantic Scene Sketch Understanding
Open Vocabulary Semantic Scene Sketch Understanding
Ahmed Bourouis
Judith E. Fan
Yulia Gryaditskaya
VLM3DV
78
1
0
18 Dec 2023
SHaRPose: Sparse High-Resolution Representation for Human Pose
  Estimation
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation
Xiaoqi An
Lin Zhao
Chen Gong
Nannan Wang
Di Wang
Jian Yang
3DHViT
72
11
0
17 Dec 2023
See, Say, and Segment: Teaching LMMs to Overcome False Premises
See, Say, and Segment: Teaching LMMs to Overcome False Premises
Tsung-Han Wu
Giscard Biamby
David M. Chan
Lisa Dunlap
Ritwik Gupta
Xudong Wang
Joseph E. Gonzalez
Trevor Darrell
VLMMLLM
121
21
0
13 Dec 2023
U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient
  Semantic Segmentation
U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation
Seul-Ki Yeom
Julian von Klitzing
ViT
91
8
0
11 Dec 2023
AI-SAM: Automatic and Interactive Segment Anything Model
AI-SAM: Automatic and Interactive Segment Anything Model
Yimu Pan
Sitao Zhang
Alison D. Gernand
Jeffery A. Goldstein
J. Z. Wang
VLM
68
4
0
05 Dec 2023
6D Assembly Pose Estimation by Point Cloud Registration for Robot
  Manipulation
6D Assembly Pose Estimation by Point Cloud Registration for Robot Manipulation
K. Samarawickrama
Gaurang Sharma
A. Angleraud
R. Pieters
3DPC
65
2
0
05 Dec 2023
A knowledge-based data-driven (KBDD) framework for all-day
  identification of cloud types using satellite remote sensing
A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing
Longfeng Nie
Yuntian Chen
Mengge Du
Changqi Sun
Dong-juan Zhang
56
3
0
01 Dec 2023
Unsupervised textile defect detection using convolutional neural
  networks
Unsupervised textile defect detection using convolutional neural networks
Imane Koulali
M. T. Eskil
52
15
0
30 Nov 2023
Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels
  by Noise-aware Learning
Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-aware Learning
Tengjin Weng
Yang Shen
Zhidong Zhao
Zhiming Cheng
Shuai Wang
71
0
0
30 Nov 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri
Julia Grabinski
Margret Keuper
91
6
0
29 Nov 2023
DyRA: Portable Dynamic Resolution Adjustment Network for Existing
  Detectors
DyRA: Portable Dynamic Resolution Adjustment Network for Existing Detectors
Daeun Seo
Hoeseok Yang
Hyungshin Kim
138
0
0
28 Nov 2023
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
Bin Xie
Jiale Cao
Jin Xie
Fahad Shahbaz Khan
Yanwei Pang
VLM
125
48
0
27 Nov 2023
BenthIQ: a Transformer-Based Benthic Classification Model for Coral
  Restoration
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration
Rupa Kurinchi-Vendhan
Drew Gray
Elijah Cole
62
0
0
22 Nov 2023
Deep Learning for Vascular Segmentation and Applications in Phase
  Contrast Tomography Imaging
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
Ekin Yagis
S. Aslani
Yashvardhan Jain
Yang Zhou
Shahrokh Rahmani
...
M. Ackermann
D. Jonigk
Paul Tafforeau
Peter D Lee
Claire L. Walsh
79
4
0
22 Nov 2023
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
Wanli Ma
Oktay Karakuş
Paul L. Rosin
244
1
0
22 Nov 2023
Transferring to Real-World Layouts: A Depth-aware Framework for Scene
  Adaptation
Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
Mu Chen
Zhedong Zheng
Yi Yang
3DV
146
7
0
21 Nov 2023
CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop
  Feedback
CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop Feedback
Chong Li
Zhun Fan
Ying Chen
Huibiao Lin
Laura Moretti
G. Loprencipe
Weihua Sheng
Kelvin C. P. Wang
48
8
0
20 Nov 2023
Estimating Uncertainty in Landslide Segmentation Models
Estimating Uncertainty in Landslide Segmentation Models
S. Nagendra
Chaopeng Shen
Daniel Kifer
UQCV
52
4
0
18 Nov 2023
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment
  Anything Model
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model
Zhaoyang Ma
Xupeng He
Shuyu Sun
Bicheng Yan
Hyung Kwak
Jun Gao
60
6
0
17 Nov 2023
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep
  Imaging Ultrasound
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound
Donya Khaledyan
T. Marini
Avice Oconnell
Steven Meng
J. Kan
Galen Brennan
Yu T Zhao
Timothy M. Baran
Kevin J. Parker
112
2
0
17 Nov 2023
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for
  Improving Segmentation of Medical Image with Ambiguous Boundaries
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries
Shuai Wang
Tengjin Weng
Jingyi Wang
Yang Shen
Zhidong Zhao
Yixiu Liu
Pengfei Jiao
Zhiming Cheng
Yaqi Wang
77
0
0
17 Nov 2023
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model
  (SAM)
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)
Virmarie Maquiling
Sean Anthony Byrne
D. Niehorster
Marcus Nyström
Enkelejda Kasneci
VLM
120
14
0
14 Nov 2023
PICS in Pics: Physics Informed Contour Selection for Rapid Image
  Segmentation
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation
Vikas Dwivedi
Balaji Srinivasan
Ganapathy Krishnamurthi
19
0
0
13 Nov 2023
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of
  Generative AI and State-of-the-Art Neural Networks
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks
Zhaoyang Ma
Xupeng He
Hyung Kwak
Jun Gao
Shuyu Sun
Bicheng Yan
AI4CE
81
5
0
10 Nov 2023
PolyMaX: General Dense Prediction with Mask Transformer
PolyMaX: General Dense Prediction with Mask Transformer
Xuan S. Yang
Liangzhe Yuan
Kimberly Wilber
Astuti Sharma
Xiuye Gu
...
Stephanie Debats
Huisheng Wang
Hartwig Adam
Mikhail Sirotenko
Liang-Chieh Chen
105
15
0
09 Nov 2023
Neural Network Methods for Radiation Detectors and Imaging
Neural Network Methods for Radiation Detectors and Imaging
S. Lin
S. Ning
H. Zhu
T. Zhou
C. L. Morris
S. Clayton
M. Cherukara
R. T. Chen
Z. Wang
AI4CE
75
5
0
09 Nov 2023
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
Jinjin Xu
Liwu Xu
Yuzhe Yang
Xiang Li
Fanyi Wang
Yanchun Xie
Yi-Jie Huang
Yaqian Li
MoEMLLMVLM
137
16
0
09 Nov 2023
Examining Common Paradigms in Multi-Task Learning
Examining Common Paradigms in Multi-Task Learning
Cathrin Elich
Lukas Kirchdorfer
Jan M. Kohler
Lukas Schott
101
2
0
08 Nov 2023
Multiclass Segmentation using Teeth Attention Modules for Dental X-ray
  Images
Multiclass Segmentation using Teeth Attention Modules for Dental X-ray Images
Afnan Ghafoor
Seong-Yong Moon
Bumshik Lee
57
1
0
07 Nov 2023
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for
  Improved Building Footprint Extraction
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction
Muhammad Ahmad Waseem
Muhammad Ahmad Tahir
Zubair Khalid
M. Uppal
ViT
48
0
0
05 Nov 2023
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM
Mykhailo Shvets
Dongxu Zhao
Marc Niethammer
Roni Sengupta
Alexander C. Berg
MDE
89
9
0
31 Oct 2023
Bilateral Network with Residual U-blocks and Dual-Guided Attention for
  Real-time Semantic Segmentation
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation
Liang Liao
Liang Wan
Ming-Je Liu
Shusheng Li
117
3
0
31 Oct 2023
DCHT: Deep Complex Hybrid Transformer for Speech Enhancement
DCHT: Deep Complex Hybrid Transformer for Speech Enhancement
Jialu Li
Junhui Li
Pu Wang
Youshan Zhang
61
4
0
30 Oct 2023
DPATD: Dual-Phase Audio Transformer for Denoising
DPATD: Dual-Phase Audio Transformer for Denoising
Junhui Li
Pu Wang
Jialu Li
Xinzhe Wang
Youshan Zhang
63
5
0
30 Oct 2023
Visual Explanations via Iterated Integrated Attributions
Visual Explanations via Iterated Integrated Attributions
Oren Barkan
Yehonatan Elisha
Yuval Asher
Amit Eshel
Noam Koenigstein
FAttXAI
49
18
0
28 Oct 2023
Learning Generalizable Program and Architecture Representations for
  Performance Modeling
Learning Generalizable Program and Architecture Representations for Performance Modeling
Lingda Li
T. Flynn
A. Hoisie
71
2
0
25 Oct 2023
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box
  Models
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models
Oren Barkan
Yuval Asher
Amit Eshel
Yehonatan Elisha
Noam Koenigstein
77
5
0
25 Oct 2023
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