然而,最近的研究表明,SAM在包括伪装目标检测(Camouflaged Object Detection,COD)、阴影检测和显著目标检测(Salient Object Detection,SOD)在内的下游任务中难以取得令人满意的性能。 原文链接:SAM已经Out了!TS-SAM:适应下游任务的分割一切! 如何更好地将在大规模通用数据集上预训练的大型模型适应于不同的下游任务,是大...
SAMsurface defect detectionsalient object detectionSegment Anything Model(SAM)is a cutting-edge model that has shown impressive performance in general object segmentation.The birth of the segment anything is a groundbreaking step towards creating a universal intelligent model.Due to its superior ...
观察到SAM-Adapter,通过引入轻量级 Adapter ,显著提高了SAM在阴影检测任务上的性能。与SAM-Adapter相比,TS-SAM有显著的性能提升。在无需针对阴影检测任务进行特殊设计的条件下,TS-SAM实现了与最佳领域特定模型接近的性能。 显著目标检测( Salient Object Detection)表3展示了TS-SAM与SAM,SSOM [4]以及SOTA领域特定模型...
然而,最近的研究表明,SAM在包括伪装目标检测(Camouflaged Object Detection,COD)、阴影检测和显著目标检测(Salient Object Detection,SOD)在内的下游任务中难以取得令人满意的性能。 如何更好地将在大规模通用数据集上预训练的大型模型适应于不同的下游任务,是大型模型应用中的一个关键问题。为解决这一问题,已存在大量关...
assets dataset model py_sod_metrics scripts utils README.md evaluation.py requirements.txt train.py README MDSAM Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection Dalian University of Technology Paper:(arxiv:2408.04326v1) ...
2、近年来,多种基于弱监督的医学图像分割方法逐渐被探索,在这些方法中,不同的稀疏标签被应用在多种器官的分割任务中,例如,yu等人提出了一种基于涂鸦级注释的弱监督细胞分割框架(yu,siyue,et al."structure-consistent weakly supervisedsalient object detection with local saliency coherence."in:aaai conference on...
Her research interests include designing deep neural networks and applying deep learning in various fields of low-level vision, such as RGB salient object detection, RGB-D salient object detection, video object segmentation, and medical image segmentation. Qi Bi is currently a Ph.D. degree candidat...
Salient Object DetectionBuilding ExtractingLicenseThe model is licensed under the Apache 2.0 license.AcknowledgementSegment Anything provides the SA-1B dataset and the base codes. YOLOv8 provides codes and pre-trained models. YOLACT provides powerful instance segmentation method. Grounded-Segment-Anything ...
[](https://paperswithcode.com/sota/salient-object-detection-on-hku-is-1?p=sam2-unet-segment-anything-2-makes-strong) [![PWC...
Anomaly Detection. Salient Object Segmentation. Building Extracting. 6. Discussion 略 7. Conclusion 在本文中,我们重新思考了 Segment Anything 的任务和模型架构选择,并提出了一种替代方案,其运行速度比 SAM-ViT-H (32 × 32 )快 50 倍。 实验证明,Fast SAM 可以很好地解决多个下游任务。然而,Fast SAM 还...