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3d-deep-learning-paper-list

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3dcae-hyperspectral-classification

Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

a-journey-into-convolutional-neural-network-visualization-

A journey into Convolutional Neural Network visualization

aiinterview

算法工程师面试题整理

albumentations

fast image augmentation library and easy to use wrapper around other libraries

awesome-computer-vision-models

It's the list with popular deep learning models related to classification and segmentation task

awesome-few-shot-learning

A curated list of resources about few-shot and one-shot learning

awesome-lifelong-continual-learning

A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning

awesome-masked-autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

awesome-panoptic-segmentation

Panoptic Segmentation Paper List.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-satellite-imagery-datasets

List of satellite image training datasets with annotations for computer vision and deep learning

awesome-scene-understanding

A resource repository for scene understanding

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-speech-recognition-speech-synthesis-papers

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

awsome-deep-learning-for-video-analysis

Papers, code and datasets about deep learning and multi-modal learning for video analysis

bass-net

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

beps-sif-model

BEPS-SIF is a global sun-induced chlorophyll fluorescence model which considers the multiple scattering effects within a canopy.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

buildingdetectors_round2

Building detector algorithms from second SpaceNet Challenge

clrs

Some exercises and problems in Introduction to Algorithms 3rd edition.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

createmomo.github.io

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

csf

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

cssfc

experiemntal code for “Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing”

cvpr2019

cvpr2019 papers