helloworld77's Stars
zehuichen123/BEVDistill
[ICLR 2023] BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
fundamentalvision/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
ADLab-AutoDrive/BEVFusion
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
NVIDIA-AI-IOT/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,).
exiawsh/StreamPETR
[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
qd213618/URVP
Full implementation of Unstructured Road Vanishing Point Detection Using the Convolutional Neural Networks and Heatmap Regression Method
TuSimple/centerformer
Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)
mrnabati/CenterFusion
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
Sense-GVT/Fast-BEV
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
fundamentalvision/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
HuangJunJie2017/BEVDet
Official code base of the BEVDet series .
mit-han-lab/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
V2AI/Det3D
World's first general purpose 3D object detection codebse.
dvlab-research/ReviewKD
Distilling Knowledge via Knowledge Review, CVPR 2021
Deephome/Awesome-LiDAR-Camera-Calibration
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
dyfcalid/CameraCalibration
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
zhixy/multical
Multiple targets for multiple IMUs, cameras and LiDARs (Lasers) spatiotemporal calibration
baaivision/Painter
Painter & SegGPT Series: Vision Foundation Models from BAAI
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Lyken17/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
Sharpiless/Yolov5-distillation-train-inference
Yolov5 distillation training | Yolov5知识蒸馏训练,支持训练自己的数据
HobbitLong/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
AlibabaResearch/efficientteacher
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
Gumpest/YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
guochengqian/PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
ZhaofanQiu/SPE-Net
Code release for ECCV22 paper "SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement"
tushushu/imylu
Pure Python implementation of machine learning algorithms
HuguesTHOMAS/KPConv
Kernel Point Convolutions