Pinned Repositories
3D-ADS
Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.
agoodge.github.io
Website
APAE
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
ARES
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring
AST
This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.
classify_by_description_release
diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)
I2P-MAE
[CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
LUNAR
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
agoodge's Repositories
agoodge/LUNAR
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
agoodge/APAE
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
agoodge/ARES
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring
agoodge/3D-ADS
Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.
agoodge/agoodge.github.io
Website
agoodge/AST
This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.
agoodge/classify_by_description_release
agoodge/diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
agoodge/GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)
agoodge/I2P-MAE
[CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
agoodge/LION
Latent Point Diffusion Models for 3D Shape Generation
agoodge/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
agoodge/ModelNet40-C
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
agoodge/Point-BERT
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
agoodge/Point-M2AE
[NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
agoodge/Point-MAE
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
agoodge/Real3D-AD
[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.
agoodge/Revisiting-Reverse-Distillation
(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
agoodge/scanobjectnn
Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019
agoodge/SimSiam
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
agoodge/Swin-Unet
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"