IoU_MDA: An Occluded Object Detection Algorithm Based on Fuzzy Sample Anchor Box IoU Matching Degree Deviation Aware
To at the low robustness of the existing model for occluded object detection, an occluded object detection algorithm based on fuzzy sample anchor box IoU Matching degree Deviation Aware(IoU_MDA)is proposed. Firstly, fuzzy samples are defined based on Anchor-based, which reflects the degree of object...
Main Authors: | Yuling Chen, Xiaoxia Li, Zhenxiang He, Hang Chen, Jinwei Chen, Bin Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10463038/ |
Similar Items
-
Autonomous intersection over union (IoU) loss: adaptive dynamic non-monotonic focal IoU loss
by: Yanchen Zhu, et al.
Published: (2024-09-01) -
Fused-IoU Loss: Efficient Learning for Accurate Bounding Box Regression
by: Yong Sun, et al.
Published: (2024-01-01) -
Addressing the Gaps of IoU Loss in 3D Object Detection with IIoU
by: Niranjan Ravi, et al.
Published: (2023-12-01) -
A Multi-Object Tracking Method in Moving UAV Based on IoU Matching
by: Yizhou Qian, et al.
Published: (2024-01-01) -
IoU Regression with H+L-Sampling for Accurate Detection Confidence
by: Dong Wang, et al.
Published: (2021-06-01)