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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3dgan-release

3D Generative Adversarial Network

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

cmsc6950_hw5_data

daf3d

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

design-system

detr

End-to-End Object Detection with Transformers

employing-attention-based-learning-for-medical-image-segmentation

eye-gaze-dataset

eyetracking

This code was used to collect, process, and validate the REFLACX (Reports and Eye-Tracking Data for Localization of Abnormalities in Chest X-rays) dataset

forwardsmstoslack

Android application that forwards received SMSs to Slack channels

frontend-components

[Front-End] frontend library

frontend-study-notes

Study note about what we studied.

ipmi2019-attnmel

IPMI2019 paper - Melanoma Recognition via Visual Attention

kotlin-lecture-note

Kotilin lecture note!

lesion_det_dual_att

lung-cancer-risk-prediction

Lung cancer risk prediction from CT using fine-tuned I3D neural network

miccai17-mmwhs-hybrid

If the code is helpful for your work, please cite our paper "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" in STACOM Workshop of MICCAI 2017.

moralis-mutants-nft-engine

Moralis Generative Art NFT Engine

observational

Observational Supervision for Medical Image Classification using Gaze Data

osd-react-renderer

A custom React renderer for OpenSeadragon

plotneuralnet

Latex code for making neural networks diagrams

prostatemr_3d-cad-cspca

Computer-aided detection and diagnosis model, with deep attention mechanisms, for voxel-level localization of clinically significant prostate cancer in bi-parametric MRI scans.

pvt

pyramid-attention-networks

[Preprint] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution

ranet-pytorch

Resolution adaptive network

recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".