This is the official repository to the CVPR 2022 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space” This repo is based on the training code in Deit and the tools in timm. Getting Started You will need Python 3.8 and the packages specified in requirements.txt. We recommend setting up a virtual environment with pip and installing the packages there. Install packages with: $ pip install -r requirements.txt Data preparation The layout of Imagenet data: /path/to/imagenet/ train/ class1/ img1.jpeg […]

What is Skeleposer? Briefly, it’s like Shape Editor in Maya, but works with transforms and joints. It can be used to make complex facial rigs based on joints. It’s especially good for game engines and realtime graphics. Basic workflow You create skeleposer node, make joints, add them to skeleposer and then work with poses. Then you connect controls to the poses and that’s done! In practice, you work with skinCluster and poses at the same time. Features Skeleposer supports a […]

This repo contains the supported code and configuration files to reproduce semantic segmentaion results of TransDA. Paper Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation Abstract After the great success of Vision Transformer variants (ViTs) in computer vision, it has also demonstrated great potential in domain adaptive semantic segmentation. Unfortunately, straightforwardly applying local ViTs in domain adaptive semantic segmentation does not bring in expected improvement. We find that the pitfall of local ViTs is due to the severe high-frequency […]