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awesome-readme icon awesome-readme

A guide to writing an Awesome README. Read the full article in Towards Data Science.

crosswalks-detection-using-yolo icon crosswalks-detection-using-yolo

Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.

ddrnet icon ddrnet

The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"

ddrnet.pytorch icon ddrnet.pytorch

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

deep-mutual-learning icon deep-mutual-learning

An unofficial implementation of 《Deep Mutual Learning》 by Pytorch to do classification on cifar100.

efficient-segmentation-networks icon efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

espnet icon espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

fasterseg icon fasterseg

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

fchardnet icon fchardnet

Fully Convolutional HarDNet for Segmentation in Pytorch

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