Debesh Jha's Projects
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
GitHub repository for Medico automatic polyp segmentation challenge
Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
Google Brain AutoML
BCDU-Net : Medical Image Segmentation
ACM-Grand-Challenge-2019-Biomedia-Sample-Submission
Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
DDANet: Dual Decoder Attention Network for automatic Polyp Segmentation
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy.
Keras code and weights files for popular deep learning models.
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
DengPing Portfolio
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
PyTorch implementation of DoubleUNet for medical image segmentation
Official implementation of DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation (pytorch implementation)
3rd International Endoscopy Computer Vision Challenge and Workshop (EndoCV2021)
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
The AI sensor processing SDK for low latency streaming workflows
This repo contains the eval code for Hybrid-E-loss, which is written by PyTorch code.
GitHub repository for the Hyper-Kvasir dataset.
GitHub for Endotect 2020 Challenge
Visual question answering (VQA)
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020 (ESI Highly Cited Paper).
Deep Learning for humans