Fast and accurate optimisation for registration with little learningconvexadam

Last update: Dec 06, 2022

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Overview

convexAdam

Learn2Reg 2021 Submission

Fast and accurate optimisation for registration with little learning

Excellent results on Learn2Reg 2021 challenge

for multimodal CT/MR registration (Task1)
intra-patient lung CT alignment (Task2)
and inter-patient whole brain MRI deformations (Task3) Challenge Website

Owner

GitHub Repository

Real-Time Social Distance Monitoring tool using Computer Vision

Social Distance Detector A Real-Time Social Distance Monitoring Tool Table of Contents Motivation YOLO Theory Detection Output Tech Stack Functionalit

13 Oct 14, 2022

The Self-Supervised Learner can be used to train a classifier with fewer labeled examples needed using self-supervised learning.

Published by SpaceML • About SpaceML • Quick Colab Example Self-Supervised Learner The Self-Supervised Learner can be used to train a classifier with

92 Nov 30, 2022

PyTorch implementation of paper: HPNet: Deep Primitive Segmentation Using Hybrid Representations.

HPNet This repository contains the PyTorch implementation of paper: HPNet: Deep Primitive Segmentation Using Hybrid Representations. Installation The

42 Dec 07, 2022

A Planar RGB-D SLAM which utilizes Manhattan World structure to provide optimal camera pose trajectory while also providing a sparse reconstruction containing points, lines and planes, and a dense surfel-based reconstruction.

ManhattanSLAM Authors: Raza Yunus, Yanyan Li and Federico Tombari ManhattanSLAM is a real-time SLAM library for RGB-D cameras that computes the camera

117 Dec 28, 2022

Fast and accurate optimisation for registration with little learningconvexadam

Related tags

Overview

convexAdam

Fast and accurate optimisation for registration with little learning

Excellent results on Learn2Reg 2021 challenge

Owner

Real-Time Social Distance Monitoring tool using Computer Vision

The Self-Supervised Learner can be used to train a classifier with fewer labeled examples needed using self-supervised learning.

PyTorch implementation of paper: HPNet: Deep Primitive Segmentation Using Hybrid Representations.

A Planar RGB-D SLAM which utilizes Manhattan World structure to provide optimal camera pose trajectory while also providing a sparse reconstruction containing points, lines and planes, and a dense surfel-based reconstruction.

Attention mechanism with MNIST dataset

A framework for annotating 3D meshes using the predictions of a 2D semantic segmentation model.

PRTR: Pose Recognition with Cascade Transformers

Functional deep learning

Multi-modal Vision Transformers Excel at Class-agnostic Object Detection

InsTrim: Lightweight Instrumentation for Coverage-guided Fuzzing

Keras implementation of the GNM model in paper ’Graph-Based Semi-Supervised Learning with Nonignorable Nonresponses‘

Official implementation of Monocular Quasi-Dense 3D Object Tracking

Code for "Solving Graph-based Public Good Games with Tree Search and Imitation Learning"

DeepRec is a recommendation engine based on TensorFlow.

A custom DeepStack model that has been trained detecting ONLY the USPS logo

A framework for GPU based high-performance medical image processing and visualization

Implementation of "Semi-supervised Domain Adaptive Structure Learning"

Multi-Template Mouse Brain MRI Atlas (MBMA): both in-vivo and ex-vivo

Official Pytorch implementation of RePOSE (ICCV2021)

Structure-Preserving Deraining with Residue Channel Prior Guidance (ICCV2021)