Improving metric-based few-shot learning with dynamically scaled softmax loss

Attention meta-transfer learning approach for few-shot iris recognition

(2022) Songze Lei et al.   COMPUTERS & ELECTRICAL ENGINEERING

Dual global-aware propagation for few-shot learning

(2022) Zhiyan Cui et al.   IMAGE AND VISION COMPUTING

Temperature network for few-shot learning with distribution-aware large-margin metric

(2021) Wei Zhu et al.   PATTERN RECOGNITION

PDA: Proxy-based domain adaptation for few-shot image recognition

(2021) Ge Liu et al.   IMAGE AND VISION COMPUTING

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples

(2021) Huaxi Huang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Global-Local Interplay in Semantic Alignment for Few-Shot Learning

(2021) Fusheng Hao et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Generalizing from a Few Examples

(2020) Yaqing Wang et al.   ACM COMPUTING SURVEYS

GIFSL - grafting based improved few-shot learning

(2020) Pratik Mazumder et al.   IMAGE AND VISION COMPUTING

Multi-Level Semantic Feature Augmentation for One-Shot Learning

(2019) Zitian Chen et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Additive Margin Softmax for Face Verification

(2018) Feng Wang et al.   IEEE SIGNAL PROCESSING LETTERS

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION