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sharingdemo icon sharingdemo

This repo contains some files for display or sharing.

slidr icon slidr

Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"

sparsebo icon sparsebo

code associated with paper "Sparse Bayesian Optimization"

spconv icon spconv

Spatial Sparse Convolution Library

sphereformer icon sphereformer

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

spvnas icon spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

st-p3 icon st-p3

[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.

st-plusplus icon st-plusplus

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

stanford_alpaca icon stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

surroundocc icon surroundocc

[arxiv 2023] Multi-camera 3D Occupancy Prediction for Autonomous Driving

tcp icon tcp

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

torch-cam icon torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

torchsparse icon torchsparse

A high-performance neural network library for point cloud processing.

tpvformer icon tpvformer

An academic alternative to Tesla's occupancy network for autonomous driving.

train_custom_dataset icon train_custom_dataset

标注自己的数据集,训练、评估、测试、部署自己的人工智能算法

uacanet icon uacanet

Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation

uni3d icon uni3d

Uni3D: 3D Visual Representation from BAAI

unitr icon unitr

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

vfdepth icon vfdepth

VFDepth Self-supervised surround-view depth estimation with volumetric feature fusion

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