Related references
Note: Only part of the references are listed.Cooperative Training of Descriptor and Generator Networks
Jianwen Xie et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
One Pixel Attack for Fooling Deep Neural Networks
Jiawei Su et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
Do Semantic Parts Emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2018)
A brief introduction to weakly supervised learning
Zhi-Hua Zhou
NATIONAL SCIENCE REVIEW (2018)
Mining Object Parts from CNNs via Active Question-Answering
Quanshi Zhang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Object Discovery: Soft Attributed Graph Mining
Quanshi Zhang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Multi-class Multi-annotator Active Learning with Robust Gaussian Process for Visual Recognition
Chengjiang Long et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Mining And-Or Graphs for Graph Matching and Object Discovery
Quanshi Zhang et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Fast R-CNN
Ross Girshick
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Webly Supervised Learning of Convolutional Networks
Xinlei Chen et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Understanding deep features with computer-generated imagery
Mathieu Aubry et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Joint Video and Text Parsing for Understanding Events and Answering Queries
Kewei Tu et al.
IEEE MULTIMEDIA (2014)
Scalable Multi-label Annotation
Jia Deng et al.
32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014) (2014)
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen et al.
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)
Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns
Quanshi Zhang et al.
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)
Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization
Yang Cong et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2013)
Learning AND-OR Templates for Object Recognition and Detection
Zhangzhang Si et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Selective Search for Object Recognition
J. R. R. Uijlings et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2013)
A survey on instance selection for active learning
Yifan Fu et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2013)
Interactively Co-segmentating Topically Related Images with Intelligent Scribble Guidance
Dhruv Batra et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2011)
Relevance feedback in image retrieval: A comprehensive review
XS Zhou et al.
MULTIMEDIA SYSTEMS (2003)
Share Paper
