Abstract: Object detection and recognition (OD&R ... Although existing datasets have included some common targets collected from real-valued intensity SAR images, there still exist some limitations in ...

Computer vision is used in many sectors for its ability to monitor and analyze visual data in ways that extend past what ...

While few-shot object detection (FSOD) is effective with limited samples, current FSOD methods for remote sensing images still face specific challenges. The “pretraining-transfer” paradigm tends to ...

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like ...

So, we created this improved one. This toolkit minimizes the deep learning teams' coding efforts to utilize the functionalities of famous deep learning models such as MTCNN in face detection, yolov5 ...

Deep neural networks have recently been successfully applied in many diverse domains as examples of end to end learning. Neural networks provide a mapping between an input—such as an image of a ...