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Adaptive Class Weight based Dual Focal Loss for Improved Semantic Segmentation

26 September 2019

Papers citing "Adaptive Class Weight based Dual Focal Loss for Improved Semantic Segmentation"

22 / 22 papers shown

Title
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 469 13,168 0 07 Feb 2018
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss Jiachi Zhang Xiaolei Shen Tianqi Zhuo Hong Zhou 125 39 0 25 Dec 2017
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 218 2,370 0 15 Oct 2017
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation Christian F. Baumgartner Lisa M. Koch Marc Pollefeys E. Konukoglu 60 246 0 13 Sep 2017
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 124 2,998 0 07 Aug 2017
Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation Sharif Amit Kamran A. Sabbir SSeg 69 19 0 26 Jul 2017
EAST: An Efficient and Accurate Scene Text Detector Xinyu Zhou Cong Yao He Wen Yuzhi Wang Shuchang Zhou Weiran He Jiajun Liang 89 1,495 0 11 Apr 2017
Loss Max-Pooling for Semantic Image Segmentation Samuel Rota Buló Gerhard Neuhold Peter Kontschieder SSeg 80 117 0 10 Apr 2017
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields P. Christ M. Elshaer Florian Ettlinger S. Tatavarty Marc Bickel ... Felix O. Hofmann M. D’Anastasi Wieland H. Sommer Seyed-Ahmad Ahmadi Bjoern Menze MedIm 61 633 0 07 Oct 2016
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning Nicolas Jaccard T. W. Rogers E. Morton Lewis D. Griffin 59 67 0 26 Jun 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 152 6,549 0 21 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 324 2,083 0 07 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,886 0 20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,641 0 06 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Brain Tumor Segmentation with Deep Neural Networks Mohammad Havaei Axel Davy David Warde-Farley A. Biard Aaron Courville Yoshua Bengio C. Pal Pierre-Marc Jodoin Hugo Larochelle 3DV 112 2,880 0 13 May 2015
Deep Learning for Medical Image Segmentation Matthew Lai MedIm SSeg 52 99 0 08 May 2015
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 137 3,494 0 24 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 416 43,777 0 01 May 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 373 25,678 0 09 Jun 2011