Stars
An explanation of how to store all the datasets in our team
T3Bench: Benchmarking Current Progress in Text-to-3D Generation
Source code of our TNNLS paper "Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution"
Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Repository for "Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-Resolution ", JSTARS, 2022
Source code for ICCV 2021 paper, IEPGAN
[ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.
The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks
😎 face releated algorithm, dataset and paper
State-of-the-art 2D and 3D Face Analysis Project
GPU implementation of Xnor network on inference level.
📚 A collection of edge/contour/boundary detection papers and toolbox.
Results of the paper "Object Contour and Edge Detection with RefineContourNet"
Torch-7 implementation of BinaryDuo (ICLR 2020).
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
Code for "HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization"
The collection of training tricks of binarized neural networks.
The official repo of the TPAMI 2021/ECCV 2020 work CSNet: A Highly Efficient Model with 100K Parameters to Study the Semantics of Salient Object Detection
This is a multi-thread download tool for pan.baidu.com
Pytorch implementation of RCF
A PyTorch reimplementation of Holistically-Nested Edge Detection
Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"