GitHub - NVlabs SegFormer: Official PyTorch implementation of SegFormer This repository contains the official Pytorch implementation of training evaluation code and the pretrained models for SegFormer SegFormer is a simple, efficient and powerful semantic segmentation method, as shown in Figure 1
SegFormer - Hugging Face SegFormer works with any input size, padding inputs to be divisible by config patch_sizes The most important preprocessing step is to randomly crop and pad all images to the same size (such as 512x512 or 640x640) and normalize afterwards
SegFormer: Simple and Efficient Design for Semantic . . . - NeurIPS A lightweight All-MLP decoder design that yields a powerful representation without complex and computationally demanding modules As shown in Figure 1, SegFormer sets new a state-of-the-art in terms of efficiency, accuracy and robustness in three publicly available semantic segmentation datasets