Deep Long-Tailed Learning: A Survey
Author:
Affiliation:
1. School of Computing, National University of Singapore, Singapore
2. ByteDance AI Lab, Shanghai, China
3. SEA AI Lab, Singapore
Funder
NUS ODPRT
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10210213/10105457.pdf?arnumber=10105457
Reference173 articles.
1. Google Landmarks Dataset v2 – A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
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3. Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
4. FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
5. Balanced-MixUp for Highly Imbalanced Medical Image Classification
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