cch2016

cch2016

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cch2016's repositories

3d-bounding-box-estimation-for-autonomous-driving

3d bounding box estimation from monocular image based on 2d bounding box

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awesome-lane-detection

A paper list of lane detection.

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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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BEVDet

Official code base of the BEVDet series .

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CaptainBlackboard

船长关于机器学习、计算机视觉和工程技术的总结和分享

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CenterFusion

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

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Codes-for-Lane-Detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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CVPR2021-Paper-Code-Interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

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detr

End-to-End Object Detection with Transformers

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fastai

The fastai deep learning library, plus lessons and tutorials

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FCOS

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

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fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

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iccv2019

ICCV 2019 papers/new汇总帖,极市团队整理

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Learning-Deep-Learning

Paper reading notes on Deep Learning and Machine Learning

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libmot

A Library of Multi-Object Tracking

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mmdetection

Open MMLab Detection Toolbox and Benchmark

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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PlotNeuralNet

Latex code for making neural networks diagrams

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pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

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pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

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RTM3D

The PyTorch Implementation of RTM3D for Monocular 3D Object Detection

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SCNN

Spatial CNN for traffic lane detection (AAAI2018)

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SegLoss

A collection of loss functions for medical image segmentation

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Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

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TorchSeg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

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