In this article, we build a semantic segmentation model with EfficientNet Lite encoder and train it on a person segmentation dataset. ...
Person Segmentation with EfficientNet Lite Based Segmentation Models
In this article, we build a semantic segmentation model with EfficientNet Lite encoder and train it on a person segmentation dataset. ...
In this article, we train DETR ResNet50 and DETR ResNet50 DC models for traffic sign detection using PyTorch. ...
This article explores the training process of PyTorch Mask RCNN model for real-time lane detection following an instance segmentation approach. ...
This article explores the training of PyTorch RetinaNet model for traffic light detection in real-life scenes. ...
In this article, we train a custom PyTorch RetinaNet model and export it to ONNX format. Further, we run inference using it on the CUDA device. ...
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