Caffe for Sparse and Low-rank Deep Neural Networks
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Updated
Mar 8, 2020 - C++
Caffe for Sparse and Low-rank Deep Neural Networks
Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"
Sparse ConvLSTM for Point Cloud Semantic Segmentation
An implementation of Sparse Layers in TensorFlow 2. x.
A fast MATLAB toolbox for N-dimensional sparse arrays.
Open Source Project for 3D Semantic Segmentation
This repository is a Pytorch porting of the Escoin-caffe Sparse Convolution implementation.
Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)
[IROS 2020] Indoor Scene Recognition in 3D
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
[arXiv 2023] 3D Small Object Detection with Dynamic Spatial Pruning
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
[NeurIPS 2022] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Neural Medial Axis Approximation of Point Clouds for 3D Tree Skeletonization
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