Feature Rescaling and Fusion for Tiny Object Detection
Recent years have witnessed rapid developments on computer vision, however, there are still challenges in detecting tiny objects in a large-scale background. The tiny objects knowledge become sparse and weak due to their tiny size, which makes the tiny objects difficult to be detected with the commo...
Main Authors: | Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9410248/ |
Similar Items
-
Adaptive Feature Pyramid Networks for Object Detection
by: Chengyang Wang, et al.
Published: (2021-01-01) -
Few-shot Object Detection Based on Feature Fusion
by: HUA Jie, LIU Xueliang, ZHAO Ye
Published: (2023-02-01) -
Multiscale attention-based detection of tiny targets in aerial beach images
by: Shurun Gao, et al.
Published: (2022-12-01) -
A Tiny Object Detection Approach for Maize Cleaning Operations
by: Haoze Yu, et al.
Published: (2023-07-01) -
Dynamic Object Detection Algorithm Based on Lightweight Shared Feature Pyramid
by: Li Zhu, et al.
Published: (2021-11-01)