For instance, you might learn in an online course how to run a YOLO network, but a real-world use case might asks for 7 YOLO networks in distributed GPUs and a HydraNet architecture. What the heck is…
Recent studies have shown that vision transformer (ViT) models can attain better results than most state-of-the-art convolutional neural networks (CNNs) across various image recognition tasks, and can do so while using considerably fewer computational resources. This has led some researchers to propose ViTs could replace CNNs in this field.However, despite their promising performance, ViTs areContinue Reading
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