cinout

AnomalyCLIP

Official implementation for AnomalyCLIP (ICLR 2024)

anomalydiffusion

[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

AnomalyGPT

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

CTRL

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning

dcfs

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation (NeurIPS 2022)

DRAEM

DS2

ds2deb

ds2 code for submission

EfficientAD

Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

fapis

cinout/AnomalyCLIP

Official implementation for AnomalyCLIP (ICLR 2024)

cinout/anomalydiffusion

[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

cinout/AnomalyGPT

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

cinout/CTRL

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning

cinout/dcfs

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation (NeurIPS 2022)

cinout/DRAEM

cinout/DS2

cinout/ds2deb

ds2 code for submission

cinout/EfficientAD

Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

cinout/fapis

cinout/FCT

cinout/fedsage

Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)

cinout/frustrating

Implementations of few-shot object detection benchmarks

cinout/fsod

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

cinout/FSOD-code

cinout/ifs_rcnn

Official code for CVPR 2022 paper: "iFS-RCNN: An Incremental Few-shot Instance Segmenter"

cinout/ifsl

[CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation

cinout/imtfa

Code accompanying the paper 'Incremental Few-Shot Instance Segmentation'

cinout/loco_ad_eval

cinout/mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

cinout/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).

cinout/patchcore

cinout/ReContrast

cinout/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

cinout/ssl_backdoor

Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".

cinout/vand_april

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