QizeMa

QizeMa's Stars

• hyzhang98/AnchorGAE-torch

  Implementation of "Non-Graph Data Clustering via O(n) Bipartite Graph Convolution," IEEE Transactions on Pattern Analysis and Machine Intelligence.

  Language:Python71

• LGAI-Research/L-Verse

  L-Verse: Bidirectional Generation Between Image and Text

  Language:Python1086

• kodenii/NUWA-LIP

  NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN

  Language:Python302

• facebookresearch/ov-seg

  This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

  Language:Jupyter Notebook66061

• caoyunkang/WinClip

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

  Language:Python21219

• JerryX1110/Awesome-3D-Anomaly-Detection

  Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation

  599

• bitzhangcy/Deep-Learning-Based-Anomaly-Detection

  17618

• xcyao00/BGAD

  Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

  Language:Python718

• LilitYolyan/CutPaste

  Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

  Language:Python11125

• fjchange/awesome-video-anomaly-detection

  Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

  56999

• jefflai108/Contrastive-Predictive-Coding-PyTorch

  Contrastive Predictive Coding for Automatic Speaker Verification

  Language:Python47296

• Philip-Bachman/amdim-public

  Public repo for Augmented Multiscale Deep InfoMax representation learning

  Language:Python39660

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python1.9k185

• XLearning-SCU/2021-CVPR-Completer

  PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

  Language:Python10434

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.6k771

• tianyu0207/IGD

  Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]

  Language:Python638

• nuclearboy95/Anomaly-Detection-PatchSVDD-PyTorch

  Language:Python24256

• nomewang/M3DM

  Language:Python12816

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13k4.1k

• plutoyuxie/Reconstruction-by-inpainting-for-visual-anomaly-detection

  This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).

  Language:Jupyter Notebook8820

• eliahuhorwitz/3D-ADS

  Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.

  Language:Python10213

• caoyunkang/CDO

  [TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization

  Language:Python607

• denguir/student-teacher-anomaly-detection

  Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

  Language:Python18043

• cs230-stanford/website-2018-winter

  Language:CSS9058

• haitongli/knowledge-distillation-pytorch

  A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

  Language:Python1.8k340

• fvmassoli/mocca-anomaly-detection

  Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'

  Language:Python106

• openvinotoolkit/anomalib

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

  Language:Python3.4k619

• plutoyuxie/AutoEncoder-SSIM-for-unsupervised-anomaly-detection-

  Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

  Language:Python12125

• CY-Jeong/anomaly-detection-mvtec

  Anomaly detection in industrial dataset(MVTEC) like capsules, texture, bottle tec... with simple layers and high performance

  Language:Python297

• hq-deng/RD4AD

  Anomaly Detection via Reverse Distillation from One-Class Embedding

  Language:Python17026