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Improving Learning Effectiveness For Object Detection and Classification
  in Cluttered Backgrounds

Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds

27 February 2020
Vinorth Varatharasan
Hyo-Sang Shin
Antonios Tsourdos
Nick Colosimo
ArXivPDFHTML

Papers citing "Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds"

4 / 4 papers shown
Title
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
219
8,455
0
17 Jun 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
619
11,984
0
04 Dec 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
75
1,004
0
23 Nov 2016
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
223
4,173
0
17 May 2015
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