ACSEkevin/An-Overview-of-Segformer-and-Details-Description
This repository provides an overview of Segformer, architecture encoder in particular. Some details of Segformer can be misleaded, thus makes a short description here to help understand the model. Meanwhile, the code (Keras/TensorFlow) is also provided for supporting.
This project helps computer vision engineers understand the internal workings of the SegFormer model for image segmentation. It clarifies common misunderstandings in the original paper by providing detailed explanations and a re-drawn architecture. Users can input images to train or test a SegFormer model, and the output is a segmented image.
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Use this if you are a computer vision engineer working with SegFormer models and need to deeply understand its architecture, especially the encoder components, to debug, optimize, or customize it.
Not ideal if you are looking for a plug-and-play solution for semantic segmentation without needing to understand the underlying model architecture in detail.
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Python
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MIT
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Last pushed
Apr 27, 2023
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