bostankhan6

Object-Detection-YoloV3-RetinaNet-FasterRCNN

Object Detection In Satellite Images Using Deep Learning (Retinanet-YOLO-Faster RCNN)

SRE-HAN

Repository for the Squeeze-and-Residual-Excitation Holistic Attention Network that improves super-resolution (SR) on remote-sensing imagery compared to other state-of-the-art attention-based SR models.

Disaster-Classification

A disaster classification model to predict the type of disaster given an input image.

Cifar100

Training a model on Cifar100 with Resnet and InceptionResnetv1

EESRGAN

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

HAN

PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"

Human-Classification

Trains model that classifies whether a given image is that of a person or not.

Image-Segmentation-Unet-DeepLabV3-Segnet

Pokemon-Classification-Pytorch

Pokemon Classification for 5 Pokemons with Dense and Convolutional Neural Networks and the comparison of their results. Data collection has been for the Pokemons.

Pytorch_Labs

Tutorials conducted for Teaching PyTorch to students of Computer Vision Course at SEECS, NUST