Debesh Jha's Projects
Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)
A PyTorch implementation of the YOLO v3 object detection algorithm
Reproducible deep learning models with weight files for method comparison.
Pytorch implementation of ResUnet and ResUnet ++
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
PyTorch implementation of ResUNet++ for Medical Image segmentation
Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
Image processing in Python
Segmentation models with pretrained backbones. Keras.
Concealed Object Detection (SINet-V2, IEEE TPAMI 2021)
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
TensorFlow's Visualization Toolkit
An Open Source Machine Learning Framework for Everyone
Graphcore port of TensorFlow for the IPU
Image Segmentation framework based on Tensorflow and TF-Slim library
Official implementation of TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (MIDL 2022)
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation (IEEE EMBC)
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
LaTeX document class for writing theses
Tensorflow implementation of UNet on surgical Instrument dataset from laparoscopic videos
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Video Polyp Segmentation (VPS)