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polukhin.tech | ||
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dagshub.com
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| | | | | Understand image embeddings, and learn about industry use cases and best practices to implement image embeddings in your company. | |
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www.paepper.com
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| | | | | Today's paper: End-to-End object detection with transformers by Carion et al. This is the second paper of the new series Deep Learning Papers visualized and it's about using a transformer approach (the current state of the art in the domain of speech) to the domain of vision. More specifically, the paper is concerned with object detection and here is the link to the paper of Carion et al. on arxiv. | |
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www.v7labs.com
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| | | | | Convolutional neural networks (CNN) are particularly well-suited for image classification and object detection. Learn the basics of CNNs and how to use them. | |
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jxmo.io
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| | | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents. | ||
