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2019_cni_trainingrelease

Training data release for Connectomics in NeuroImaging - Transfer Learning Challenge (CNI-TLC). For more details, see http://miccai.brainconnectivity.net

2020-neurips-clearer

2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

3d-human-pose-estimation-notes

3d-isometry-robust

3d-pointcloud

Papers and Datasets about Point Cloud.

3d-recgan-pytorch

A pytorch implement of 3D-RecGAN

3d_appearance_sr

This is the official website of our work 3D Appearance Super-Resolution with Deep Learning published on CVPR2019.

3d_image_segmentation

3D implementation of some of the most famous networks used for segmentation

3dlocalmultiviewdesc

Repository for "End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds"

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

a-unifying-framework-for-spectrum-preserving-graph-sparsification-and-coarsening

Python code associated with the paper ``A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)

accel

Fast, high accuracy video segmentation framework (CVPR 2019 oral)

acs

Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

adaxpert0

adv_attack_capsnet

Tensorflow Implementation of Adversarial Attack to Capsule Networks

adv_framing

Repository for the paper "Adversarial Framing for Image and Video Classification"

adversarialnetspapers

The classical paper list with code about generative adversarial nets

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

aegan

Code for “Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis”

agd

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

ai_paperclassification

NIPS2019 根据论文题目将论文进行分类 classify papers with keywords in title

algorithm-exercise

Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/

alibabacloud-quantization-networks

alibabacloud-quantization-networks

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

all-about-the-gan

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

am205

Incremental SVD

aneuriskdata

Aneurisk dataset repository cases with image volumes

as-maml

A meta-learning framework for few-shot graph learning

asm

( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation