[NeurIPS 2024] Code release for "Segment Anything without Supervision"

[ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

About PyTorch implementation for ‘’Robust Multi-View Clustering with Noisy Correspondence‘’ (TKDE 2024)

(TNNLS)2022"Fast Clustering by Directly Solving Bipartite Graph Clustering Problem'' is accepted by TNNLS

R-MDPC：Fast main density peak clustering within relevant regions via a robust decision graph

[TPAMI2024]"EBMGC-GNF: Efficient Balanced Multi-view Graph Clustering via Good Neighbor Fusion"

蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

A lightweight model segmentation software based on RHACrackNet

Mamba meets crack segmentation

CVPR 2024 论文和开源项目合集

📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

Deep Learning Model for Crack Detection and Segmentation

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

🔥 💪 Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

list of functions i wrote / rewrote

Collections for hyperspectral image clustering

TMM2024: Bipartite Graph-based Projected Clustering with Local Region Guidance for Hyperspectral Imagery

TIP2024: Fast Projected Fuzzy Clustering with Anchor Guidance for Multimodal Remote Sensing Imagery

Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications

Towards Balance Deep Semi-supervised Clustering

Code for Enhanced Latent Multi-view Subspace Clustering

A matlab implement for robust subspace clustering by LHCF

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

机器学习（周志华）PPT课件

Collect some papers and datastes about few-shot object detection for computer vision.