Related references
Note: Only part of the references are listed.PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Peng Tang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Image Deformation Meta-Networks for One-Shot Learning
Zitian Chen et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Few-shot Learning via Saliency-guided Hallucination of Samples
Hongguang Zhang et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Multi-Image Semantic Matching by Mining Consistent Features
Qianqian Wang et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching
David Novotny et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
AGA : Attribute-Guided Augmentation
Mandar Dixit et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Human-level concept learning through probabilistic program induction
Brenden M. Lake et al.
SCIENCE (2015)
Share Paper
