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Deep Label Distribution Learning with Label Ambiguity
v1v2 (latest)

Deep Label Distribution Learning with Label Ambiguity

6 November 2016
Bin-Bin Gao
Chao Xing
Chen-Wei Xie
Jianxin Wu
Xin Geng
ArXiv (abs)PDFHTML

Papers citing "Deep Label Distribution Learning with Label Ambiguity"

19 / 19 papers shown
Title
Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages
Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages
Yu Yamaoka
Weng Ian Chan
Shigeto Seno
Soichiro Fukada
Hideo Matsuda
62
0
0
07 May 2025
A Review of Pseudo-Labeling for Computer Vision
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage
Jay C. Rothenberger
Pavlos Andreadis
Dimitrios I. Diochnos
VLM
89
6
0
13 Aug 2024
Label Distribution Learning Forests
Label Distribution Learning Forests
Wei Shen
Kai Zhao
Yilu Guo
Alan Yuille
68
103
0
20 Feb 2017
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Instance-Aware Hashing for Multi-Label Image Retrieval
Instance-Aware Hashing for Multi-Label Image Retrieval
Hanjiang Lai
Pan Yan
Xiangbo Shu
Yunchao Wei
Shuicheng Yan
64
127
0
10 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 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
3DVBDL
883
27,373
0
02 Dec 2015
Robust Optimization for Deep Regression
Robust Optimization for Deep Regression
Vasileios Belagiannis
Christian Rupprecht
G. Carneiro
Nassir Navab
3DH
160
180
0
25 May 2015
Exploit Bounding Box Annotations for Multi-label Object Recognition
Exploit Bounding Box Annotations for Multi-label Object Recognition
Hao Yang
Qiufeng Wang
Yu Zhang
Bin-Bin Gao
Jianxin Wu
Jianfei Cai
66
164
0
22 Apr 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,625
0
06 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
196
4,896
0
22 Dec 2014
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
322
2,946
0
15 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
Label Distribution Learning
Label Distribution Learning
Xin Geng
59
523
0
26 Aug 2014
CNN: Single-label to Multi-label
CNN: Single-label to Multi-label
Yunchao Wei
Wei Xia
Junshi Huang
Bingbing Ni
Jian Dong
Yao-Min Zhao
Shuicheng Yan
95
676
0
22 Jun 2014
Deep Convolutional Ranking for Multilabel Image Annotation
Deep Convolutional Ranking for Multilabel Image Annotation
Yunchao Gong
Yangqing Jia
Thomas Leung
Alexander Toshev
Sergey Ioffe
VLM
127
433
0
17 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,193
0
11 Nov 2013
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,452
0
20 Oct 2012
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