Semi-supervised and long-tailed object detection with Cascadematch
This paper focuses on long-tailed object detection in the semi-supervised learning setting, which poses realistic challenges, but has rarely been studied in the literature. We propose a novel pseudo-labeling-based detector called CascadeMatch. Our detector features a cascade network architecture, wh...
Saved in:
Main Authors: | Zang, Yuhang, Zhou, Kaiyang, Huang, Chen, Loy, Chen Change |
---|---|
其他作者: | School of Computer Science and Engineering |
格式: | Article |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/165791 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Expandable-RCNN: toward high-efficiency incremental few-shot object detection
由: Li, Y, et al.
出版: (2024) -
Contextual object detection with multimodal large language models
由: Zang, Yuhang, et al.
出版: (2024) -
IMPROVING SEMI-SUPERVISED 3D OBJECT DETECTION
由: YEO QI XUN
出版: (2023) -
HEAD AND TAIL: NETWORK EFFECTS AND LONG TAIL IN SUPPLY CHAIN MANAGEMENT
由: BI SHENG
出版: (2021) -
LCReg: long-tailed image classification with latent categories based recognition
由: Liu, Weide, et al.
出版: (2023)