label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
翻译 - 基于YOLOv4的PyTorch实现：“ Complex-YOLO：点云上的实时3D对象检测”
Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
#计算机科学#Pytorch Implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation (https://arxiv.org/abs/1606.02147)
Implementing the training pipeline for YOLOv4 using PyTorch
This repository contains the code and the report for the coursework of INFR11031 Advanced Vision, a postgraduate course offered at The University of Edinburgh. The task was to train on limited and imp...