This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"
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Updated
Mar 27, 2023 - Python
This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"
PSPNet in Tensorflow 2 with pretrained weights for ADE20k, CityScapes and VOC2012
TASFormer: Task-aware Image Segmentation Transformer
The code of Switchable Normalization for semantic image segmentation
Official PyTorch implementation for "HyenaPixel: Global Image Context with Convolutions"
The official implementation of paper: "Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning"
ADE20K data and goodies
PyTorch implementation of "Pyramid Scene Parsing Network".
Python scripts performing semantic segmentation using the TopFormer model in ONNX.
This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
pytorch implementation of graph convolutions for semantic segmentation on ADE20K dataset
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
Lite-HRNet: A Lightweight High-Resolution Network
Switchable Normalization for semantic image segmentation and scene parsing.
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
[CVPR'23] Hard Patches Mining for Masked Image Modeling
[Colab Demo Code] OneFormer: One Transformer to Rule Universal Image Segmentation.
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