The myriad of dog breeds with subtle changes in their physical appearances have been a challenge to veterinarians, dog owners, animal shelter staff and potential dog owners in identifying their right breed.
Evaluation Metrics
developed by Microsoft Research Team. This paper discusses an improved ViT architecture that produces a hierarchical representation of feature maps reducing the computation complexity of self-attention mechanism from quadratic to linear. It is proven to give identical results as SOTA Convolution Networks like EfficientNet on Imagenet classification problem.In NLP, the tokens which are the processing elements of a model, are the words in a sentence where the size of 1 token is 1 .
is also made up of 3 other building blocks - Linear Embedding, Swin Transformer Block, Patch Merging. These building blocks are repeated and it process feature maps in a hierarchical fashion.The 3136 tokens each of 48 dimension from the “Patch Partitioner” are fed to a feed forward layer to embed the token of 48 feature vector into a feature vector of size ‘C’. ‘C’ here acts as the capacity of the transformer and the SWIN architecture has 4 variants based on it.
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