learning-art

Wang Yuanhang's starred repositories

AMeFu-Net

Repository for the paper "Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition"

Language:PythonMIT4400

strm

[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition

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BSFA-FSFG

[TCSVT23, Highly Cited Paper] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

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CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification

Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)

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Bi-FRN

Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification

Language:PythonMIT4700

Awesome-Fine-Grained-Few-Shot-Learning

The summary of code and paper for few-shot learning in fine-grained recognition

Apache-2.05300

MIST_VAD

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

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bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

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MNAD

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

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MPN

Official codes of CVPR21 paper: Learning Normal Dynamics in Videos with Meta Prototype Network

Language:Python12500

AMMCNet_AAAI2021

Appearance-Motion Memory Consistency Network for Video Anomaly Detection

Language:Python3200

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Language:PythonApache-2.0349000

AED

A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video

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RTFM

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

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CU-Net

[CVPR 2023] Official code for paper: Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection

Language:Python2400

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Language:PythonMIT588700

DeepEMD

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

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awesome-papers-fewshot

Collection for Few-shot Learning

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easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

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structure-tensor

Structure tensor 2D and 3D implementation for Python.

Language:PythonMIT4600

Slicing-CNN

The source code for our CVPR 2016 work "Slicing Convolutional Neural Network for Crowd Video Understanding".

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BackgroundSubtraction

Background subtraction algorithm by Gaussian Mixture Model based on paper "Adaptive background mixture models for real-time tracking".

Language:Python3000

We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

Language:PythonGPL-3.033900