Abstract: Modern millimeter-wave (mmWave) radar heat map-based object detection techniques have shown significant potential. However, radar heat maps still pose challenges for fine-grained object ...
Note: This model has been trained for approximately 2.7M steps (batch size = 1) and is still in the training process. I have attached a .ipynb file in the repository. You can refer to it to know how ...
Abstract: Accurate segmentation in medical images is a crucial step in a CAD system, improving clinical workflows and proper treatment planning. Deep learning-based approaches have gained popularity ...
This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
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