Pytorch Implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation (https://arxiv.org/abs/1606.02147)
Statistics for this project are still being loaded, please check back later.
[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Cha...
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow...
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Imag...
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]
Sandbox for training deep learning networks
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Atten...
Semantic Segmentation Architectures Implemented in PyTorch
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...
A collection of computer vision pre-trained models.