Fast and accurate optimisation for registration with little learningconvexadam

Overview

convexAdam

Learn2Reg 2021 Submission

Fast and accurate optimisation for registration with little learning

Slide1 Slide2 Slide3

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

Slide4

Results

Official Pytorch implementation for video neural representation (NeRV)

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PyTorch code for EMNLP 2021 paper: Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

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Help you understand Manual and w/ Clutch point while driving.

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SeMask: Semantically Masked Transformers for Semantic Segmentation.

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The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining

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Yuki M. Asano 249 Dec 22, 2022
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Ximing Yang 4 Dec 14, 2021
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LitingLin 196 Jan 04, 2023
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Hierarchical Attention Networks for Document Classification This is an implementation of the paper Hierarchical Attention Networks for Document Classi

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

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Muhammad Maaz 206 Jan 04, 2023
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258 Dec 29, 2022
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Masked Autoencoders Are Scalable Vision Learners A TensorFlow implementation of Masked Autoencoders Are Scalable Vision Learners [1]. Our implementati

Aritra Roy Gosthipaty 59 Dec 10, 2022
RRxIO - Robust Radar Visual/Thermal Inertial Odometry: Robust and accurate state estimation even in challenging visual conditions.

RRxIO - Robust Radar Visual/Thermal Inertial Odometry RRxIO offers robust and accurate state estimation even in challenging visual conditions. RRxIO c

Christopher Doer 64 Dec 29, 2022
Federated Learning Based on Dynamic Regularization

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Source code for "Roto-translated Local Coordinate Framesfor Interacting Dynamical Systems"

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End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021)

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Teng Wang 118 Dec 16, 2022
DIR-GNN - Discovering Invariant Rationales for Graph Neural Networks

DIR-GNN "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

Ying-Xin (Shirley) Wu 70 Nov 13, 2022