.png){kind=icon}
返回
An Adaptive Sample Assignment Network for Tiny Object Detection
.png){kind=icon}
PRE
AI
DOI：10.1109/TMM.2023.3305120.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Tiny objects often have a small proportion of pixels in the image, leading to significant differences in the number of positive and negative samples and the lack of feature information. Accurately determining the position and category of tiny objects remains a huge challenge for object detection research. Therefore, we design an Adaptive Sample Assignment Strategy(ASAS) and tiny object focusing enhancement module to solve the above two problems. Specifically, starting from the study of positive and negative sample selection and balance strategies for tiny objects, we construct a lightweight Object Existence Probability Determination Network (OEPD/Net) to focus on the areas where tiny objects exist, and achieve adaptive assignment and balance of samples. A top/down, layer by layer focusing enhancement module is designed to effectively enhance the propagation ability of high/level semantic information for tiny objects. The above two solutions have excellent generalization and migration capabilities and can be applied to any stage and two-stage object detection network, effectively enhancing TOD performance. Finally, this article provides a performance analysis of detection performance the detection network based on the OEPD/Net output results, and demonstrates the effectiveness of the proposed OEPD-Net and focusing enhancement module through extensive experiments on a public dataset.
Keyword:
Tiny object detection
sample assignment strategy
focus enhancement
adaptive cropping method
期刊
IF:
9.7
论文数:
4.5K
被引数:
2.4W
机构
引用论文
Conductivity Enhancement in Thin Silicon-on-Insulator Layer Embedding Artificial Dislocation Network
PREAI
分享收藏Thermal comfort, perceived air quality, and cognitive performance when personally controlled air movement is used by tropically acclimatized persons当热带适应的人使用个人控制的空气运动时，热舒适性，感知的空气质量和认知表现.png)
Indoor Air
OAAI
Indoor AirIF0
OAAI分享收藏
查看更多内容