RandLA-Net-pytorch🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Stars: ✭ 69 (+283.33%)
Mutual labels: semantic-segmentation, 3d-vision
LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Stars: ✭ 111 (+516.67%)
Mutual labels: semantic-segmentation
EgoNetOfficial project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
Stars: ✭ 111 (+516.67%)
Mutual labels: 3d-vision
cluster toolsDistributed segmentation for bio-image-analysis
Stars: ✭ 26 (+44.44%)
Mutual labels: 3d-segmentation
pointnet2 semanticA pointnet++ fork, with focus on semantic segmentation of differents datasets
Stars: ✭ 69 (+283.33%)
Mutual labels: semantic-segmentation
object nerfCode for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021
Stars: ✭ 135 (+650%)
Mutual labels: 3d-vision
HugsVisionHugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Stars: ✭ 154 (+755.56%)
Mutual labels: semantic-segmentation
HoHoNet"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
Stars: ✭ 65 (+261.11%)
Mutual labels: semantic-segmentation
lowshot-shapebiasLearning low-shot object classification with explicit shape bias learned from point clouds
Stars: ✭ 37 (+105.56%)
Mutual labels: 3d-vision
SimpleViewOfficial Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Stars: ✭ 95 (+427.78%)
Mutual labels: 3d-vision
Grapy-ML(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
Stars: ✭ 50 (+177.78%)
Mutual labels: semantic-segmentation
DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (+111.11%)
Mutual labels: semantic-segmentation
SAComputerVisionMachineLearningComputer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program
Stars: ✭ 36 (+100%)
Mutual labels: semantic-segmentation
CurveNetOfficial implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021
Stars: ✭ 94 (+422.22%)
Mutual labels: 3d-vision
DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Stars: ✭ 98 (+444.44%)
Mutual labels: semantic-segmentation
pyconvsegnetSemantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 32 (+77.78%)
Mutual labels: semantic-segmentation
Trending-in-3D-VisionAn on-going paper list on new trends in 3D vision with deep learning
Stars: ✭ 42 (+133.33%)
Mutual labels: 3d-vision