Machine Learning and Deep Learning
In this article, we explore how several foundation models in VLMs, Image Segmentation, and multi-modal models like CLIP help in open-ended class agnostic segmentation and detection tasks. ...
In this article, we create a custom Vision Transformer based object detection model using NVIDIA's FasterViT backbone and the Single Shot Detection head. ...
On this article, we are optimizing the Faster RCNN MobileNetV3 model using ONNX for near real-time detection on CPU. ...
In this article, we cover the RT-DETR model architecture and performance comparison with other models along with inference on images and videos using the PyTorch framework. ...
In this article, we are fine-tuning the FCOS model on a smoke detection dataset using the PyTorch deep learning framework. ...
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