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zhang ya jun's Projects

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mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mdnet icon mdnet

This is a tensorflow implementation of MDNet tracking algorithm

metrics icon metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

mib icon mib

Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

moco-pytorch icon moco-pytorch

An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.

model-compression icon model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for quantization)

models icon models

Models and examples built with TensorFlow

models-1 icon models-1

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

mssnet icon mssnet

KSSNet: Multi-Label Classification with Label Graph Superimposing

multinet icon multinet

Real-time Joint Semantic Reasoning for Autonomous Driving

munit icon munit

Multimodal Unsupervised Image-to-Image Translation

mvision icon mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

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