liutongkun's starred repositories

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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EfficientSAM

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

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LayerDiffuse

Transparent Image Layer Diffusion using Latent Transparency

FeatUp

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

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mixed-segdec-net-comind2021

Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

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fast_pytorch_kmeans

This is a pytorch implementation of k-means clustering algorithm

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DeepCrack

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

SAM-CD

Pytorch code of the SAM-CD

DFMGAN

[AAAI 2023] Official implementation of "Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation".

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InsPLAD

Inspection of Power Line Assets Dataset (InsPLAD)

GC10-DET-Metallic-Surface-Defect-Datasets

This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" The images of 10 common Metallic Surface defects were collected, and their pixel level ground-truth were labeled.

natural-synthetic-anomalies

Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".

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MSD

mobile phone screen surface defect segmentation (detection) dataset.

segad

Segmentation-based Anomaly Detector (SegAD)

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TGRNet-Surface-Defect-Segmentation

Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation

3DSR

Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation

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SADE

An Examination of the Compositionality of Large Generative Vision-Language Models

License:MITStargazers:20Issues:1Issues:0

SD-AANet

The code is for the paper "A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation"

Anomaly-Clustering

An unofficial implementation using Pytorch for "Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types". Improve the algorithm with DINO pretrained ViT. Implement algorithms based on PatchCore.

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PMNet

Official code for Pixel Matching Network.

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DADF

The official implementation of the paper DADF for industrial VAD

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GLCF

Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"

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lane-detection

Using Hough Transform to detect straight lane lines

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PSP-DS

Source code and data set for the paper"Few-Shot Unseen Defect Segmentation for Polycrystalline Silicon Panels with An Interpretable Dual Subspace Attention Variational Learning Framework"