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Target Detection and Segmentation in Circular-Scan
  Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional
  Encoder-Decoders

Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders

10 January 2021
I. Sledge
Matthew S. Emigh
Jonathan L. King
Denton L. Woods
J. T. Cobb
José C. Príncipe
ArXivPDFHTML

Papers citing "Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders"

33 / 33 papers shown
Title
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
45
111
0
17 Jun 2021
Learning Dynamic Routing for Semantic Segmentation
Learning Dynamic Routing for Semantic Segmentation
Yanwei Li
Lin Song
Yukang Chen
Zeming Li
Xinming Zhang
Xingang Wang
Jian Sun
SSeg
122
164
0
23 Mar 2020
EGNet:Edge Guidance Network for Salient Object Detection
EGNet:Edge Guidance Network for Salient Object Detection
Jiaxing Zhao
Jiangjiang Liu
Deng-Ping Fan
Yang Cao
Jufeng Yang
Ming-Ming Cheng
107
911
0
22 Aug 2019
On Implicit Filter Level Sparsity in Convolutional Neural Networks
On Implicit Filter Level Sparsity in Convolutional Neural Networks
Dushyant Mehta
K. Kim
Christian Theobalt
64
27
0
29 Nov 2018
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
322
5,108
0
09 Sep 2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-
  Supervised Semantic Segmentation
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
Yunchao Wei
Huaxin Xiao
Humphrey Shi
Zequn Jie
Jiashi Feng
Thomas S. Huang
SSeg
82
545
0
11 May 2018
Understanding Autoencoders with Information Theoretic Concepts
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
78
133
0
30 Mar 2018
Learning Uncertain Convolutional Features for Accurate Saliency
  Detection
Learning Uncertain Convolutional Features for Accurate Saliency Detection
Pingping Zhang
D. Wang
Huchuan Lu
Hongyu Wang
Baocai Yin
78
430
0
07 Aug 2017
What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR
What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR
John McKay
Isaac D. Gerg
V. Monga
R. Raj
25
43
0
29 Jun 2017
Accurate Optical Flow via Direct Cost Volume Processing
Accurate Optical Flow via Direct Cost Volume Processing
Jia Xu
René Ranftl
V. Koltun
106
240
0
24 Apr 2017
Object Region Mining with Adversarial Erasing: A Simple Classification
  to Semantic Segmentation Approach
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming-Ming Cheng
Yao-Min Zhao
Shuicheng Yan
81
809
0
24 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
181
15,619
0
25 Dec 2016
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
255
3,081
0
06 Dec 2016
Deeply supervised salient object detection with short connections
Deeply supervised salient object detection with short connections
Qibin Hou
Ming-Ming Cheng
Xiao-Wei Hu
Ali Borji
Zhuowen Tu
Philip Torr
69
1,330
0
15 Nov 2016
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object
  Detection
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai
Quanfu Fan
Rogerio Feris
Nuno Vasconcelos
ObjD
81
1,491
0
25 Jul 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
177
5,641
0
20 May 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
69
854
0
29 Mar 2016
Fast Optical Flow using Dense Inverse Search
Fast Optical Flow using Dense Inverse Search
Till Kroeger
Radu Timofte
Dengxin Dai
Luc Van Gool
75
346
0
11 Mar 2016
Deep Contrast Learning for Salient Object Detection
Deep Contrast Learning for Salient Object Detection
Guanbin Li
Yizhou Yu
72
730
0
07 Mar 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,319
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
86
1,209
0
14 Dec 2015
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object
  Detection
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
Xi Li
Liming Zhao
Lina Wei
Ming-Hsuan Yang
Leilei Gan
Yueting Zhuang
Haibin Ling
Jingdong Wang
60
497
0
19 Oct 2015
Flow Fields: Dense Correspondence Fields for Highly Accurate Large
  Displacement Optical Flow Estimation
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
C. Bailer
B. Taetz
D. Stricker
51
216
0
21 Aug 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
161
1,682
0
22 Jul 2015
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
94
802
0
20 Jun 2015
Multi-scale recognition with DAG-CNNs
Multi-scale recognition with DAG-CNNs
Songfan Yang
Deva Ramanan
BDL
64
205
0
20 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
232
4,178
0
17 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
311
4,177
0
26 Apr 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
103
918
0
09 Feb 2015
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical
  Flow
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow
Jérôme Revaud
Philippe Weinzaepfel
Zaïd Harchaoui
Cordelia Schmid
76
797
0
12 Jan 2015
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
126
1,962
0
26 Nov 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
396
11,227
0
18 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
151
5,006
0
21 Dec 2013
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