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MVContrast: Unsupervised Pretraining for Multi-view 3D Object Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 872-883
作者:  Luequan Wang;  Hongbin Xu;  Wenxiong Kang
Adobe PDF(1954Kb)  |  收藏  |  浏览/下载：43/8  |  提交时间：2024/04/23
Multi view, unsupervised pretraining, contrastive learning, 3D vision, shape recognition  
Transmission Line Insulator Defect Detection Based on Swin Transformer and Context 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 729-740
作者:  Yu Xi;  Ke Zhou;  Ling-Wen Meng;  Bo Chen;  Hao-Min Chen;  Jing-Yi Zhang
Adobe PDF(18337Kb)  |  收藏  |  浏览/下载：52/13  |  提交时间：2024/04/23
Insulator defect, object detection, Swin transformer, data augmentation, context information  
YOLO-CORE: Contour Regression for Efficient Instance Segmentation 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 716-728
作者:  Haoliang Liu;  Wei Xiong;  Yu Zhang
Adobe PDF(11569Kb)  |  收藏  |  浏览/下载：38/6  |  提交时间：2024/04/23
Computer vision, instance segmentation, object shape prediction, contour regression, polar distance  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：52/9  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Deep Gradient Learning for Efficient Camouflaged Object Detection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 92-108
作者:  Ge-Peng Ji;  Deng-Ping Fan;  Yu-Cheng Chou;  Dengxin Dai;  Alexander Liniger;  Luc Van Gool
Adobe PDF(5723Kb)  |  收藏  |  浏览/下载：65/19  |  提交时间：2024/04/23
Camouflaged object detection (COD)  object gradient  soft grouping  efficient model  image segmentation  
TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:  Ma CC(马成丞);  Dong WM(董未名);  Xu CS(徐常胜)
Adobe PDF(741Kb)  |  收藏  |  浏览/下载：147/33  |  提交时间：2024/01/29
Semi-supervised few-shot learning  few-shot learning  pseudo-labeling  linear regression  low-rank reconstruction