hzy1201's Stars
caoyunkang/AdaCLIP
[ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''
HVision-NKU/Cascade-CLIP
Official implement of ICML2024 Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
aliyun/alibabacloud-microservice-demo
An Alibaba Cloud native microservice demo powered by Apache Dubbo and Spring Cloud Alibaba
siyi-wind/MDViT
[MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)
cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
hust-linyi/CAT-Net
This is the official code of the paper "Few Shot Medical Image Segmentation with Cross Attention Transformer"
scortexio/patchcore-few-shot
Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
hq-deng/AnoVL
zqhang/Accurate-WinCLIP-pytorch
Accurate reimplementation of WinCLIP (pytorch version)
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)。
ByChelsea/VAND-APRIL-GAN
[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
hjbahng/visual_prompting
Exploring Visual Prompts for Adapting Large-Scale Models
crossoverJie/cim
📲cim(cross IM) 适用于开发者的分布式即时通讯系统
caoyunkang/Segment-Any-Anomaly
Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
ShoufaChen/AdaptFormer
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
deeplearning-wisc/MCM
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
czczup/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
VitjanZ/DRAEM
taikiinoue45/RIAD
Reconstruction by Inpainting Based Anomaly Detection
openvinotoolkit/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
lironber/GOAD
Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
byungjae89/SPADE-pytorch
PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"
TangBean/understanding-the-jvm
《深入理解 Java 虚拟机》阅读笔记
caoyunkang/WinClip
[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".
Runinho/pytorch-cutpaste
unoffical and work in progress PyTorch implementation of CutPaste
hoya012/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
bitzhangcy/Deep-Learning-Based-Anomaly-Detection
steshaw/plt
Programming Language Theory λΠ
CL0610/Java-concurrency
Java并发知识点总结