chenghao-ch94 Goto Github PK

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

constrained-fscil

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

deepemd

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

dfrfs

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

examples

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

exposure_correction

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

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

feat

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

few-shot

Repository for few-shot learning machine learning projects

few-shot-gnn

few-shot-meta-baseline

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

few-shot-remote-sensing-scene-classification

fgfl

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

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

j3s

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

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

meta-learning-lstm

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

prototypical-networks-for-few-shot-learning-pytorch

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

pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

towards-generalized-and-efficient-metric-learning-on-riemannian-manifold

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