EdwardLeeLPZ

Context-Experiments

Several experiments that analyze the influence of context on the detection effect and separate contextual information from features

Diabetic-Retinopathy-Detection

A project that uses deep convolutional neural networks to automatically diagnose diabetic retinopathy.

Domain-Adaptation

A domain adaptation project based on context and global prototype developed on Detectron2

EdwardLeeLPZ

Personal Repository of Peizheng Li

EdwardLeeLPZ.github.io

Human-Activity-Recognition

A project based on smart phone sensors that uses deep residual neural networks to recognize human activities

PhD_Research_Plan

PowerBEV

POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.

EdwardLeeLPZ/PowerBEV

POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.

EdwardLeeLPZ/Human-Activity-Recognition

A project based on smart phone sensors that uses deep residual neural networks to recognize human activities

EdwardLeeLPZ/Diabetic-Retinopathy-Detection

A project that uses deep convolutional neural networks to automatically diagnose diabetic retinopathy.

EdwardLeeLPZ/Domain-Adaptation

A domain adaptation project based on context and global prototype developed on Detectron2

EdwardLeeLPZ/Context-Experiments

Several experiments that analyze the influence of context on the detection effect and separate contextual information from features

EdwardLeeLPZ/EdwardLeeLPZ

Personal Repository of Peizheng Li

EdwardLeeLPZ/EdwardLeeLPZ.github.io

EdwardLeeLPZ/PhD_Research_Plan