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Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer
  Learning

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

7 December 2020
Haokui Zhang
Ying Li
Yenan Jiang
Peng Wang
Qiang Shen
Chunhua Shen
ArXivPDFHTML

Papers citing "Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning"

18 / 18 papers shown
Title
Cascaded Recurrent Neural Networks for Hyperspectral Image
  Classification
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
Renlong Hang
Qingshan Liu
Danfeng Hong
Pedram Ghamisi
35
631
0
28 Feb 2019
Pelee: A Real-Time Object Detection System on Mobile Devices
Pelee: A Real-Time Object Detection System on Mobile Devices
R. Wang
Xiang Li
Charles X. Ling
ObjD
59
455
0
18 Apr 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
178
19,271
0
13 Jan 2018
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
123
1,934
0
27 Nov 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
229
8,015
0
22 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,832
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
766
36,794
0
25 Aug 2016
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Philip Torr
VOT
75
3,879
0
30 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
735
37,846
0
20 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,247
0
23 Feb 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
74
4,604
0
10 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
229
29,816
0
08 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
875
27,358
0
02 Dec 2015
An Exploration of Softmax Alternatives Belonging to the Spherical Loss
  Family
An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family
A. D. Brébisson
Pascal Vincent
53
98
0
16 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
499
62,270
0
04 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,289
0
11 Feb 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
457
43,649
0
17 Sep 2014
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