The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation

By Yu Li, Bingyi Kang, Junnan Li, J. Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng. 2020

7 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Trevor Darrell
3. Ming-Hsuan Yang
4. Quoc V. Le
5. Xiaogang Wang
6. Jitendra Malik
7. Dacheng Tao
8. Alan L. Yuille

Citations in the corpus

• Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation (2020, background): “Modern approaches for addressing long-tail data when training deep networks can be mainly divided into two groups: data re-sampling [41, 21, 62] and loss re-weighting [30, 8, 3, 54, 37, 46].”
• Zero-Shot Detection via Vision and Language Knowledge Distillation (2021, methodology): “Specialized methods are proposed to address the data imbalance issue, including two-stage training [24, 26], loss re-weighting [19, 6, 5, 40, 26], and data re-sampling [30, 15, 42].”