GamesCpp - Games in C++ and SFML library in Linux

A large-scale face dataset for face parsing, recognition, generation and editing.

Multi-Planar UNet for autonomous segmentation of 3D medical images

An autoencoder for point cloud encoding-decoding build using tree-GAN as base work.

This repo provides ⚡ fast⚡ semantic segmentation models on CityScapes/Camvid DataSet by Pytorch

Resources for deep learning with satellite & aerial imagery

Contextual Attention Network: Transformer Meets U-Net

Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄

A pytorch-version implementation codes of paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", which is accepted in ICCV 2019.

Global Context-Aware Progressive Aggregation Network for Salient Object Detection

CVPR2020, Multi-scale Interactive Network for Salient Object Detection

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Video Object Segmentation using Space-Time Memory Networks

Chest X-Ray COVID-19 Detection. Work presented at the Ethics and Explainability for Responsible Data Science (EE-RDS 2021) Conference. IEEE Paper: https://ieeexplore.ieee.org/document/9708580

Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020&TIP2021)

ESC 101A: Fundamentals of Computing (C Programming Course), IIT Kanpur, 2018-19-autumn offering

Multi-task Attention-based Semi-supervised Learning framework for image segmentation

Associating Objects with Transformers for Video Object Segmentation (NeurIPS 2021)

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

[PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning

[MICCAI'2020 PRIME] Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Severity Estimation.