chenghao-ch94

AGNN

[MIPR 2022 & TMM 2023] "Attentive Graph Neural Networks for Few-shot Learning" with its extension version

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

Awesome-Few-Shot-Class-Incremental-Learning

Awesome Few-Shot Class-Incremental Learning

CEC-CVPR2021

Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

chengcv.github.io

chenghao‘s homepage

DFRFS

[TNNLS 2023] Disentangled Feature Representation for Few-shot Image Classification

Few-Shot-Remote-Sensing-Scene-Classification

FGFL

[ICCV 23] Frequency Guidance Matters in Few-shot Learning

J3S

[ICIP 2020 & Neurocomputing 2023] "Joint Statistical and Spatial Sparse Representation for Robust Image and Image-set Classification" and its extension version

Towards-Generalized-and-Efficient-Metric-Learning-on-Riemannian-Manifold

[IJCAI 2018] "Towards Generalized and Efficient Metric Learning on Riemannian Manifold"

chenghao-ch94/DFRFS

[TNNLS 2023] Disentangled Feature Representation for Few-shot Image Classification

chenghao-ch94/AGNN

[MIPR 2022 & TMM 2023] "Attentive Graph Neural Networks for Few-shot Learning" with its extension version

chenghao-ch94/FGFL

[ICCV 23] Frequency Guidance Matters in Few-shot Learning

chenghao-ch94/Few-Shot-Remote-Sensing-Scene-Classification

chenghao-ch94/Towards-Generalized-and-Efficient-Metric-Learning-on-Riemannian-Manifold

[IJCAI 2018] "Towards Generalized and Efficient Metric Learning on Riemannian Manifold"

chenghao-ch94/J3S

[ICIP 2020 & Neurocomputing 2023] "Joint Statistical and Spatial Sparse Representation for Robust Image and Image-set Classification" and its extension version

chenghao-ch94/awesome-anomaly-detection

A curated list of awesome anomaly detection resources

chenghao-ch94/Awesome-Few-Shot-Class-Incremental-Learning

Awesome Few-Shot Class-Incremental Learning

chenghao-ch94/CEC-CVPR2021

Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

chenghao-ch94/chengcv.github.io

chenghao‘s homepage

chenghao-ch94/constrained-FSCIL

PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"

chenghao-ch94/DeepEMD

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

chenghao-ch94/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

chenghao-ch94/Exposure_Correction

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

chenghao-ch94/fast-MPN-COV

@CVPR2018: We propose a fast MPN-COV method for computing matrix square root normalization, which is very efficient, scalable to multiple-GPU configuration, while enjoying matching performance with MPN-COV

chenghao-ch94/FEAT

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

chenghao-ch94/few-shot

Repository for few-shot learning machine learning projects

chenghao-ch94/few-shot-gnn

chenghao-ch94/few-shot-meta-baseline

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

chenghao-ch94/ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

chenghao-ch94/MatchingNetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

chenghao-ch94/meta-learning-lstm

This repo contains the source code accompanying a scientific paper with the same name.

chenghao-ch94/Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

chenghao-ch94/pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

chenghao-ch94/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration