Segment Anythingsegment-anything.com/ 机构:Meta 背景简介 这个模型名字就叫Segment Anything Model,简称SAM,顾名思义是图像分割领域的一个模型。文章主要从任务(task)、模型(model)、数据(data)三个方面入手,为了在图像分割领域实现可以大规模运用的可提示模型,整个过程涉及到迄今为止最大的分割数据集,包含超过10...
segment anything model 目标检测 目标检测attention 1. 前言 网络训练的时候基本做不了代码上的活,那就多读读目标检测的文献呗。 2. TANet 首先来看AAAI2020的文章“TANet: Robust 3D Object Detection from Point Clouds with Triple Attention”。这篇文章的核心创新点有两个: Triple Attention(译为三重注意力机...
Light field (LF)Salient object detectionSegment anything modelAdapterFeature fusionWe propose a SAM-based network for accurate light field salient object detection.We use an adaptive method to extract saliency information and spatial details.A 3D convolution-based CMFM is designed to fuse complementary...
Meta AI在四月发布了一个视觉分割领域的基础模型,叫做Segment Anything Model,简称SAM。这个模型主要是使用提示工程来训练一个根据提示进行分割的预训练大模型,该模型具有在下游分割任务应用的潜力,并且可以与其他视觉任务组合形成其他视觉任务的新解决方案。该工作从选择用来预训练的任务、模型设计和数据引擎三个角度来论述...
获取SAM(Segment Anything Model)生成的所有对象提案。 通过边界框裁剪对象区域。 从CLIP 获取裁剪图像的特征和查询特征。 计算图像特征与查询特征之间的相似度。 1.2 分割结果增加标签 1.2.1 Semantic-Segment-Anything SAM 是用于任意对象分割的强大模型,而 SA-1B 是迄今为止最大的分割数据集。 然而,SAM 缺乏预测...
Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection, ACM Multimedia (MM), 2024 - guobaoxiao/DSAM
In contrast, recent advances in the field of natural image segmentation have witnessed the emergence of segmentation foundation models, such as segment anything model (SAM)7 and Segment Everything Everywhere with Multi-modal prompts all at once8, showcasing remarkable versatility and performance across...
Segment anything model (SAM) for digital pathology: assess zero-shot segmentation on whole slide imaging. Preprint at https://arxiv.org/abs/2304.04155 (2023). Hu, C., Li, X. When SAM meets medical images: an investigation of segment anything model (SAM) on multi-phase liver tumor ...
By leveraging the power of a pre-trained segmentation model (Segment Anything Model, SAM) via prompt engineering, the training of AutoQC required only a small dataset with bounding box annotations instead of pixel-wise annotations. AutoQC outperformed SAM (without prompt engineering) and YOLOv8-...
Computer vision is having its ChatGPT moment with the release of the Segment Anything Model (SAM) by Meta last week. Trained over 11 billion segmentation masks, SAM is a foundation model for predictive AI use cases rather than generative AI. While it has shown an incredible amount of flexibil...