Stereo 3D Object Detection Using a Feature Attention Module
Stereo 3D object detection remains a crucial challenge within the realm of 3D vision. In the pursuit of enhancing stereo 3D object detection, feature fusion has emerged as a potent strategy. However, the design of the feature fusion module and the determination of pivotal features in this fusion pro...
Main Authors: | Kexin Zhao, Rui Jiang, Jun He |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/12/560 |
Similar Items
-
Object Detection by Attention-Guided Feature Fusion Network
by: Yuxuan Shi, et al.
Published: (2022-04-01) -
Single-Shot Object Detection via Feature Enhancement and Channel Attention
by: Yi Li, et al.
Published: (2022-09-01) -
Multi-Attention Network for Stereo Matching
by: Xiaowei Yang, et al.
Published: (2020-01-01) -
StereoYOLO: A Stereo Vision-Based Method for Maritime Object Recognition and Localization
by: Yifan Shang, et al.
Published: (2024-01-01) -
FPGA Design of Enhanced Scale-Invariant Feature Transform with Finite-Area Parallel Feature Matching for Stereo Vision
by: Chien-Hung Kuo, et al.
Published: (2021-07-01)