Official PyTorch implementation for "HyenaPixel: Global Image Context with Convolutions"
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Updated
Jun 3, 2024 - Python
Official PyTorch implementation for "HyenaPixel: Global Image Context with Convolutions"
ADE20K data and goodies
The code of Switchable Normalization for semantic image segmentation
PSPNet in Tensorflow 2 with pretrained weights for ADE20k, CityScapes and VOC2012
TASFormer: Task-aware Image Segmentation Transformer
This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"
[Colab Demo Code] OneFormer: One Transformer to Rule Universal Image Segmentation.
PyTorch implementation of "Pyramid Scene Parsing Network".
pytorch implementation of graph convolutions for semantic segmentation on ADE20K dataset
Python scripts performing semantic segmentation using the TopFormer model in ONNX.
Lite-HRNet: A Lightweight High-Resolution Network
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
The official implementation of paper: "Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning"
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)
Implementation of a wall segmentation algorithm in PyTorch.
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Switchable Normalization for semantic image segmentation and scene parsing.
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".
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