Pinned Repositories
3D-MiniNet
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
3D-PointCloud
Papers and Datasets about Point Cloud.
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
attention-transfer
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Awesome-Pruning
A curated list of neural network pruning resources.
bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Birds-eye-view-Perception
Awesome BEV perception research and cookbook for all level audience in autonomous diriving
CNNSeg
CNNSeg Algorithm in APOLLO3.0
COP
Code for IJCAI2019 paper
CPGNet
liukang1811's Repositories
liukang1811/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
liukang1811/Awesome-Pruning
A curated list of neural network pruning resources.
liukang1811/bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
liukang1811/Birds-eye-view-Perception
Awesome BEV perception research and cookbook for all level audience in autonomous diriving
liukang1811/CPGNet
liukang1811/CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
liukang1811/EagleEye
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
liukang1811/fast-cuda-gpu-dbscan
:star2: CUDA-DClust+: Fast DBSCAN algorithm implemented on CUDA. Based on the research paper.
liukang1811/filter-pruning-geometric-median
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
liukang1811/G-VOM
G-VOM: A GPU Accelerated Voxel Off-Road Mapping System
liukang1811/Ground-Segmentation-Benchmark
Ground segmentation benchmark in SemanticKITTI dataset
liukang1811/KD_Lib
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
liukang1811/knockoffnets
Knockoff Nets: Stealing Functionality of Black-Box Models
liukang1811/Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
liukang1811/mdistiller
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
liukang1811/mmdetection3d-note
mmdetection3d 代码重点注解笔记
liukang1811/mmrazor
OpenMMLab Model Compression Toolbox and Benchmark.
liukang1811/No-CPGNet
Non-official implementation of CPGNet
liukang1811/no_cpgnet_master
liukang1811/patchwork-plusplus
Patchwork++: Fast and robust ground segmentation method for 3D point cloud. @ IROS'22
liukang1811/PolarizationPruning
Implementation of Neuron-level Structured Pruning using Polarization Regularizer
liukang1811/Pruning_filters_for_efficient_convnets
PyTorch implementation of "Pruning Filters For Efficient ConvNets"
liukang1811/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
liukang1811/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
liukang1811/retraining-free-pruning
[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
liukang1811/SlimSAM
SlimSAM: 0.1% Data Makes Segment Anything Slim
liukang1811/SphereFormer
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
liukang1811/test
liukang1811/Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / Diffusion / Transformers / YOLOv8 / CNNs
liukang1811/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.