4 papers
De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection
Zehua Fu, Chenguang Liu, Yuyu Chen +3
Despite its significant success, object detection in traffic and transportation scenarios requires time-consuming and laborious efforts in acquiring high-quality labeled data. Ther…
Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation
Yongchao Feng, Yajie Liu, Shuai Yang +13
Vision-Language Model (VLM) have gained widespread adoption in Open-Vocabulary (OV) object detection and segmentation tasks. Despite they have shown promise on OV-related tasks, th…
PACF: Prototype Augmented Compact Features for Improving Domain Adaptive Object Detection
Chenguang Liu, Yongchao Feng, Yanan Zhang +2
In recent years, there has been significant advancement in object detection. However, applying off-the-shelf detectors to a new domain leads to significant performance drop, caused…
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images
Chenguang Liu, Guangshuai Gao, Ziyue Huang +3
Detecting objects from aerial images poses significant challenges due to the following factors: 1) Aerial images typically have very large sizes, generally with millions or even hu…