winnerCR7

winnerCR7

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SST

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

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PolarMOT

Official code for "PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?" [ECCV 2022]

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CV_interviews_Q-A

CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!

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deep-learning-papers-translation

深度学习论文翻译,包括分类论文,检测论文等

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awesome-point-clouds-registration

A list of papers about point clouds registration

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PCReg.PyTorch

A Simple Point Cloud Registration Network based on PointNet.

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yolact

A simple, fully convolutional model for real-time instance segmentation.

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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cityscapesScripts

README and scripts for the Cityscapes Dataset

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automl

Google Brain AutoML

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RefineDet

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

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DetectoRS

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

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Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

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Ultra-Fast-Lane-Detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

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ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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deep-learning-notes

Experiments with Deep Learning

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gluoncv-torch

PyTorch API for GluonCV Models

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leetcode_101

LeetCode 101:和你一起你轻松刷题(C++)

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yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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bdd100k

This repo has been moved to https://github.com/bdd100k/bdd100k permanently.

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Detection-PyTorch-Notebook

代码 -《深度学习之PyTorch物体检测实战》

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Halfrost-Field

✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

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exercise

exercise for nndl

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