Abstract: Open world object detection (OWOD) aims to identify both known instances of trained classes and unknown ones. Despite recent advancements, existing methods exhibit a detection bias towards ...
Abstract: Detecting tiny objects in remote sensing images has been an intriguing yet challenging topic in remote sensing image processing. While significant progress has been made in many studies, ...
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 ...
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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