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These projects were analysed and named EasyCV among their alternatives. The relationship is not symmetric — how EasyCV rates them is a separate judgement, made when EasyCV is analysed in its own right.
calls EasyCV “Full CV toolkit; choose it when you need a broad model zoo and training pipeline, not just ViT.”
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
calls EasyCV “Choose it when you want a higher-level all-in-one CV toolkit that wires backbones to downstream tasks, rather than assembling Swin yourself.”
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
calls EasyCV “choose if you want an all-in-one PyTorch CV toolkit rather than a ViT-specific release.”