sj-yuan Goto Github PK

acmmm23-solution-mbeg

Workshop on UAVs in Multimedia: Capturing the World from a New Perspective. Reza Zhu's Solution: MBEG

anomalib

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

anomaly-detection-in-industry-manufacturing

Pipeline training and inference Anomalib models UI in Anomaly Detection

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection.

cfpnet

Centralized Feature Pyramid for Object Detection

cross-view-image-matching

[ICCV 2019] Bridging the Domain Gap for Ground-to-Aerial Image Matching

cross_view_localization_cvft

cross_view_localization_safa

datr

detection-of-traffic-anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

dpn

ACM MM 2023 Multimedia Drone Satellite Matching Challenge Submission

hc-net

[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator

jigsaw-puzzle-for-rgb-d-domain-adaptation

Self-supervised Domain Adaptation for RGB-D data

jigsawblock

This is the official repository to manuscript "Jigsaw Block for Anomaly Detection of Industrial Products Considering both Texture and Shape Information"

lpn

Pytorch implementation of Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization https://arxiv.org/abs/2008.11646

memseg

Unofficial Re-implementation of MemSeg for Anomaly Detection

mlpn_workshop

mvfa-ad

[CVPR2024 Highlight] Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

pfm-and-pefm-for-image-anomaly-detection-and-segmentation

PFM and PEFM for Image Anomaly Detection and Segmentation

pyramidflow

[CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow

pytorch_pointpillars

real3d-ad

A 3D point cloud anomaly detection dataset and benchmark. Accepted by NeurIPS 2023.

rk-net

Code for RK-Net

sample4geo

specularityremoval