Abstract: In this article, we propose a multimodal dynamic adaptive detection framework (MDADet) tailored for small object detection named MDADet. Concretely, we utilize a dynamic IoU-centric ...
Given image, point cloud, and calibration file, the demo file conducts 3D object detection/tracking and saves the results. # 1. 3D object detection demo, results are saved at demo/results folder. # if ...
Abstract: Source-Free Object Detection (SFOD) enables knowledge transfer from a source domain to an unsupervised target domain for object detection without access to source data. Most existing SFOD ...
face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...
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