Cao等人[115]提出了一种名为Segment Any Anomaly +(SAA+)的零样本异常分割框架,如图7所示。该框架利用混合提示正则化技术提高现代基础模型的适应性,实现更准确的异常分割,无需特定领域的微调。作者在四个异常分割基准数据集(VisA [122]、MVTec-AD [123]、MTD [124]和KSDD2 [125])上进行了彻底的实验,并取得...
Segment Any Point Cloud Sequences (SAM for self-supervised learning on large-scale 3D point clouds) Repo ArXiv Page Segment-Any-Anomaly (SAM + GroudingDINO for anomaly detection)Repo Segment and Track Anything (SAM-Track) Repo ArXiv Inpaint/Remove/Fill-Anything (image inpainting meets sam)...
Segment-Any-Anomaly (SAM + GroudingDINO for anomaly detection)Repo Segment and Track Anything (SAM-Track) Repo ArXiv Inpaint/Remove/Fill-Anything (image inpainting meets sam) Repo SEEM: Segment Everything Everywhere All at Once Repo Roboflow Annotate Smart Polygon is a free, automated image annot...
论文: VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection MoD:轻量化、高效、强大的新型卷积结构 | ACCV'24 VincentLee 2024-11-18 阅读2 分钟450 来源:晓飞的算法工程笔记 公众号,转载请注明出处论文: CNN Mixture-of-Depths论文地址:[链接]创新点提出新的卷积轻量化结构MoD,在卷积块(Conv...
To fill this gap, we propose SAM-LAD, a zero-shot, plug-and-play framework for anomaly detection in any scene. First, we obtain a query image's feature map using a pre-trained backbone. Simultaneously, we retrieve the reference images and their corresponding feature maps via the nearest ...
论文对于幻读的宽松解释是:只要事务2对事务1的谓词范围进行了写入(写入成功),不管后面事务1做什么查询,都算是幻读。 其表达式为: P3: r1[P]...w2[y in P]...((c1 or a1) and (c2 or a2) any order) 个人理解,需要从锁实现的角度去看这个问题:基于锁实现的隔离级别,解决幻读的方法就是对谓词范围...
Steger. MVTec AD-A comprehensive real-world dataset for unsupervised anomaly detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, USA, pp. 9584–9592, 2019. DOI: https://doi.org/10.1109/CV-PR.2019.00982. S. He, W. S. Jiang. ...
SegmentMeIfYouCan - A Benchmark for Anomaly Segmentation The detection and localization of previously-unseen objects is of utmost importance for safety-critical applications such as perception for automated driving, especially if such unknown objects appear on the road ahead. Our benchmark addresses tw...
Zero-Shot Anomaly Detection by Yunkang Cao EditAnything: ControlNet + StableDiffusion based on the SAM segmentation mask by Shanghua Gao and Pan Zhou IEA: Image Editing Anything by Zhengcong Fei SAM-MMRorate: Combining Rotated Object Detector and SAM by Qingyun Li and Xue Yang Awesome-Anything...
"Segment Any Anomaly without Training via Hybrid Prompt Regularization." ArXiv (2023). [paper] [code] [2023.05] OR-NeRF: Youtan Yin, Zhoujie Fu, Fan Yang, Guosheng Lin. "OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields." ArXiv (2023)....