jumptiger66's Stars
extreme-assistant/CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
ldkong1205/PointCloud-C
Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions
guochengqian/PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
ScanNet/ScanNet
ma-xu/pointMLP-pytorch
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
wcipriano/pretty-print-confusion-matrix
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
sepandhaghighi/pycm
Multi-class confusion matrix library in Python
hkust-vgd/scanobjectnn
Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019
erikwijmans/Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
0voice/expert_readed_books
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,**类,数学类,人物传记书籍
GMvandeVen/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
google-research/l2p
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
makinacorpus/easydict
Access dict values as attributes (works recursively)
arthurdouillard/incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Continvvm/continuum
A clean and simple data loading library for Continual Learning
jaywcjlove/linux-command
Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
goodok/fastai_sparse
3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks
numpy/numpy
The fundamental package for scientific computing with Python.
wuyuebupt/LargeScaleIncrementalLearning
sairin1202/BIC
pytorch implementation of Large Scale Incremental Learning
donlee90/icarl
PyTorch Implementation of iCaRL
DRSAD/iCaRL
qq456cvb/Point-Transformers
Point Transformers
ContinualAI/continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
dvlab-research/Stratified-Transformer
Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
yaoyao-liu/class-incremental-learning
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
rd2coding/Road2Coding
编程之路
EdenBelouadah/class-incremental-learning