FasterViT and GCVit
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 GCVit
NVlabs/GCVit
[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers
This project offers an advanced technique for accurately analyzing images, helping systems recognize objects and classify scenes more effectively. It takes raw image data as input and produces highly accurate categorizations and object locations. Data scientists and machine learning engineers who develop computer vision applications will find this beneficial for improving model performance.
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