FasterViT and MaxViT
About FasterViT
NVlabs/FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
This project provides pre-trained models and code for fast and accurate image analysis. It takes raw image data as input and produces classifications (like what's in the image) or detects specific objects within the image. This is for machine learning engineers or researchers who need to build high-performance computer vision systems.
About MaxViT
ChristophReich1996/MaxViT
PyTorch reimplementation of the paper "MaxViT: Multi-Axis Vision Transformer" [ECCV 2022].
This project offers a pre-configured architecture for computer vision tasks, specifically for image classification. It takes image data as input and outputs classifications. This tool is for machine learning engineers and researchers who are building and experimenting with advanced deep learning models for image analysis.
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