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Multi-Evidence Filtering and Fusion for Multi-Label Classification,
  Object Detection and Semantic Segmentation Based on Weakly Supervised
  Learning

Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

26 February 2018
Weifeng Ge
Sibei Yang
Yizhou Yu
ArXivPDFHTML

Papers citing "Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning"

26 / 26 papers shown
Title
Global Meets Local: Effective Multi-Label Image Classification via
  Category-Aware Weak Supervision
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision
Jiawei Zhan
Xiaozhong Liu
Wei Tang
Guannan Jiang
Xi-Zhao Wang
...
Tianliang Zhang
Wenlong Wu
Wei Zhang
Chengjie Wang
Yuan Xie
33
6
0
23 Nov 2022
A Multi-label Continual Learning Framework to Scale Deep Learning
  Approaches for Packaging Equipment Monitoring
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
Davide Dalle Pezze
Denis Deronjic
Chiara Masiero
Diego Tosato
A. Beghi
Gian Antonio Susto
CLL
26
9
0
08 Aug 2022
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for
  Weakly Supervised Object Detection
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection
Shiwei Zhang
Wei Ke
Lin Yang
WSOD
21
2
0
18 Oct 2021
PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground
  Truth Refinement
PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement
Jun Wang
Hefeng Zhou
Xiaohan Yu
16
0
0
25 Aug 2021
Fine-Grained AutoAugmentation for Multi-Label Classification
Fine-Grained AutoAugmentation for Multi-Label Classification
Y. Wang
Hesen Chen
Fangyi Zhang
Yaohua Wang
Xiuyu Sun
Ming Lin
Hao Li
26
2
0
12 Jul 2021
Weakly Supervised Object Localization and Detection: A Survey
Weakly Supervised Object Localization and Detection: A Survey
Dingwen Zhang
Junwei Han
Gong Cheng
Ming-Hsuan Yang
WSOD
23
270
0
16 Apr 2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and
  Benchmark
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Joakim Bruslund Haurum
T. Moeslund
18
60
0
19 Mar 2021
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Xueyi Li
Tianfei Zhou
Jianwu Li
Yi Zhou
Zhaoxiang Zhang
22
122
0
09 Dec 2020
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised
  Semantic Segmentation
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
E. Stammes
Tom F. H. Runia
M. Hofmann
Mohsen Ghafoorian
21
9
0
09 Nov 2020
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection
UFO2^22: A Unified Framework towards Omni-supervised Object Detection
Zhongzheng Ren
Zhiding Yu
Xiaodong Yang
Xuan Li
A. Schwing
Jan Kautz
ObjD
198
35
0
21 Oct 2020
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset
  for Semantic Scene Understanding
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
Xiaoman Qi
P. Zhu
Yuebin Wang
Liqiang Zhang
Junhuan Peng
Mengfan Wu
Jialong Chen
Xudong Zhao
Ning Zang
P. Mathiopoulos
11
109
0
01 Oct 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
24
101
0
08 Sep 2020
Discovering Latent Classes for Semi-Supervised Semantic Segmentation
Discovering Latent Classes for Semi-Supervised Semantic Segmentation
Olga Zatsarynna
Johann Sawatzky
Juergen Gall
30
1
0
30 Dec 2019
Learn to Segment Retinal Lesions and Beyond
Learn to Segment Retinal Lesions and Beyond
Qijie Wei
Xirong Li
Weihong Yu
Xiao Zhang
Yongpeng Zhang
...
Bin Mo
Di Gong
N. Chen
Dayong Ding
You-xin Chen
MedIm
21
47
0
25 Dec 2019
Towards Precise End-to-end Weakly Supervised Object Detection Network
Towards Precise End-to-end Weakly Supervised Object Detection Network
Ke Yang
Dongsheng Li
Y. Dou
WSOD
24
128
0
27 Nov 2019
Label-PEnet: Sequential Label Propagation and Enhancement Networks for
  Weakly Supervised Instance Segmentation
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
Weifeng Ge
Sheng Guo
Weilin Huang
Matthew R. Scott
22
48
0
07 Oct 2019
Learning Category Correlations for Multi-label Image Recognition with
  Graph Networks
Learning Category Correlations for Multi-label Image Recognition with Graph Networks
Qing Li
Xiaojiang Peng
Yu Qiao
Qiang Peng
34
22
0
28 Sep 2019
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for
  Weakly-supervised Object Detection
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection
Zhaoyang Zeng
Bei Liu
Jianlong Fu
Hongyang Chao
Lei Zhang
WSOD
27
149
0
11 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
25
70
0
08 Sep 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
16
990
0
07 Apr 2019
Weakly Supervised Object Detection with Segmentation Collaboration
Weakly Supervised Object Detection with Segmentation Collaboration
Xiaoyan Li
Meina Kan
Shiguang Shan
Xilin Chen
WSOD
17
96
0
01 Apr 2019
Weakly Supervised Complementary Parts Models for Fine-Grained Image
  Classification from the Bottom Up
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
Weifeng Ge
Xiangru Lin
Yizhou Yu
42
255
0
07 Mar 2019
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using
  Stochastic Inference
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
Jungbeom Lee
Eunji Kim
Sungmin Lee
Jangho Lee
Sungroh Yoon
24
422
0
27 Feb 2019
ELASTIC: Improving CNNs with Dynamic Scaling Policies
ELASTIC: Improving CNNs with Dynamic Scaling Policies
Huiyu Wang
Aniruddha Kembhavi
Ali Farhadi
Alan Yuille
Mohammad Rastegari
122
57
0
13 Dec 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Peng Tang
Xinggang Wang
S. Bai
Wei Shen
X. Bai
Wenyu Liu
Alan Yuille
WSOD
38
362
0
09 Jul 2018
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