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Dong HE's Projects

3d-mininet icon 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

alfred icon alfred

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

bevformer icon 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.

changesim icon changesim

A multi-modal, photo-realistic dataset for online end-to-end scene change detection and more (accepted to IROS2021).

cylinder3d icon cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

dualcross icon dualcross

DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception

e3d icon e3d

Efficient Methods for 3D Deep Learning

easycv icon easycv

An all-in-one toolkit for computer vision

focal-loss-pytorch icon focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

lidar-bonnetal icon lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

lit_gpt icon lit_gpt

gpt implementation pytorch lightning

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

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