jueduilingdu's Stars
facebookresearch/low-shot-shrink-hallucinate
Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features
facebookresearch/low-shot-with-diffusion
Low-shot learning with large-scale diffusion
tsungyu/o2dp
ethereon/netscope
Neural network visualizer
cbovar/ConvNetDraw
Draw multi-layer neural network in your browser
OUCMachineLearning/OUCML
otaha178/Emotion-recognition
Real time emotion recognition
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
javiribera/locating-objects-without-bboxes
PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models
xiaolonw/TimeCycle
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)
raingo/TGIF-Release
Animated GIF Description Dataset
guan-yuan/awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
DataSystemsGroupUT/AutoML_Survey
wjchaoGit/Group-Activity-Recognition
CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition
gsx0/Attentive-Region-Embedding-Network-for-Zero-shot-Learning
Attentive Region Embedding Network for Zero-shot Learning (CVPR 2019)
EdwardSmith1884/GEOMetrics
Repo for the paper "GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects"
fishmoon1234/DAG-GNN
nju-websoft/RSN
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
kekeblom/DeepCGP
Deep convolutional gaussian processes.
Tiiiger/SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
shirakawas/ASNG-NAS
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
auspicious3000/autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
vcl-iisc/ZSKD
Zero-Shot Knowledge Distillation in Deep Networks
likesiwell/LGM-Net
Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
istarjun/TapNet
Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
fidler-lab/curve-gcn
Official PyTorch code for Curve-GCN (CVPR 2019)
sbharadwajj/Generalized-Zero-Shot-Learning-via-Aligned-Variational-Autoencoders
This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders' (CVPR 2019)
WenbinLee/DN4
Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
wutianyiRosun/Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
gidariss/wDAE_GNN_FewShot
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning