fuyansheng

fuyansheng's Stars

• caoyunkang/AdaCLIP

  [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''

  Language:Python83

• M-3LAB/open-iad

  Image anomaly detection benchmark in industrial manufacturing

  Language:Python10512

• huzongxiang/sowa

  Language:Python8

• xrli-U/MuSc

  This is an official PyTorch implementation for "MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images" (MuSc ICLR2024).

  Language:Python25414

• dammsi/AnomalyDINO

  AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2

  Language:Jupyter Notebook17

• VITA-Group/ViHGNN

  [ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang

  Language:Python367

• zhangzjn/ADer

  ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

  Language:Python15113

• FuNz-0/PromptAD

  Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection

  Language:Python874

• natapp/natapp_autostart

  natapp Linux 开机启动脚本

  Language:Shell10348

• CASIA-IVA-Lab/AnomalyGPT

  [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

  Language:Python77796

• zqhang/Accurate-WinCLIP-pytorch

  Accurate reimplementation of WinCLIP (pytorch version)

  Language:Python742

• caoyunkang/WinClip

  [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

  Language:Python25021

• zqhang/AnomalyCLIP

  Official implementation for AnomalyCLIP (ICLR 2024)

  Language:Python26025

• ByChelsea/VAND-APRIL-GAN

  [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

  Language:Python19522

• MediaBrain-SJTU/MVFA-AD

  [CVPR2024 Highlight] Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

  Language:Python12719

• mala-lab/InCTRL

  Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

  Language:Python11513

• cnulab/RealNet

  Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"

  Language:Python20613

• M-3LAB/awesome-industrial-anomaly-detection

  Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

  1.5k139

• PKU-ICST-MIPL/MKVSE-TOMM2023

  Language:Python233

• wk1998/MPKGAC

  Language:Python5

• iacercalixto/visualsem-kg

  Representation learning for VisualSem knowledge graph.

  Language:Python6

• THUDM/kgTransformer

  kgTransformer: pre-training for reasoning over complex KG queries (KDD 22)

  Language:Python8212

• nesl/RadHAR

  Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar

  Language:Python15352

• OreOZhao/MoSE4MKGC

  Code for "MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion", EMNLP, 2022.

  Language:Python272

• theZJD/AspectMMKG

  81

• jia-zhuang/pytorch-multi-gpu-training

  整理 pytorch 单机多 GPU 训练方法与原理

  Language:Python75783

• mniepert/mmkb

  Several data modalities for KBs (visual, numerical, temporal, etc.)

  Language:Python37652

• zjukg/MANS

  [Paper][IJCNN2023] Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding

  Language:Python73

• iacercalixto/visualsem

  Repository for VisualSem: a high-quality knowledge graph to support research in vision and language.

  Language:Python857

• salesforce/ALBEF

  Code for ALBEF: a new vision-language pre-training method

  Language:Python1.5k195