BadSeedX's Stars
TooTouch/MemSeg
Unofficial re-implementation of MemSeg for Anomaly Detection
caoyunkang/WinClip
[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".
hmsch/natural-synthetic-anomalies
Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
CASIA-IVA-Lab/AnomalyGPT
[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
xuebinqin/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
PKU-ICST-MIPL/PosterLayout-CVPR2023
Official repository for "PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout" (CVPR 2023).
advimman/lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
IDEA-Research/GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
salesforce/LayoutDETR
The official PyTorch implementation for arXiv'23 paper 'LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer'
JosephKJ/Awesome-Layout-Generators
An awesome list of layout generation papers
facebookresearch/detr
End-to-End Object Detection with Transformers
facebookresearch/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.
tientrandinh/Revisiting-Reverse-Distillation
(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
hq-deng/RD4AD
Anomaly Detection via Reverse Distillation from One-Class Embedding
zhiyuanyou/UniAD
[NeurIPS 2022 Spotlight] A Unified Model for Multi-class 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.
LilitYolyan/CutPaste
Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.