实例分割(instance segmentation)已经被以 Mask R-CNN 为代表的“先检测后分割”的框架主导了多年,之前涌现的单阶段实例分割算法也依然需要遍历图片中的每一个位置(feature grids)来预测实例分割掩码(instance masks),因此他们都需要一些额外的组件(如检测框或/和NMS)来区分不同实例或清理相同实例的掩码。我们希望实例...
然而,直到今年初才想明白自己理想中的实例分割框架应该是怎样的,所以有了我们在NeurIPS2021的工作 K-Net:Towards Unified Image Segmentation。 K-Net 以最简单的训练 setting (多尺度训练 36 epoch) 在 COCO Panoptic Segmentation 数据集的 test-dev 上取得了 55.2 PQ ,是目前最高的单模型结果。 本文主要介绍K-...
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Purpose:Image segmentation technology can automate the task of contouring organs for radiation treatment planning. A segmentation method using a five‐laye... D Gering,W Lu,K Ruchala,... - 《Medical Physics》 被引量: 2发表: 2009年 Devil Is in the Edges: Learning Semantic Boundaries From Nois...
An automatic tongue detection and segmentation framework for computer-aided tongue image analysis Comparing with other existing methods, our method is fully automatic without any need of adjusting parameters for different images and do not need any ... W Xu,R Kanawong,X Dong,... - IEEE Internat...
Methods: We conducted a retrospective study to assess the concordance in the evaluation of segmentation algorithms using the DSC, JSC, and HD and on the tasks of estimating the metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of primary tumors from PET images of patients with ...
Mask classification is an alternative paradigm that disentangles the image partitioning and classification aspects of segmentation. Instead of classifying each pixel, mask classification-based methods predict a set of binary masks, each associated with a single class prediction (Figure 1 right). The mor...
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationSimon Graham et al.2022-02-28 Video is All You Need: Attacking PPG-based Biometric AuthenticationLin Li et al.2022-03-02
User-centric image segmentation using an interactive parameter adaptation tool Creating successful machine vision systems often begins a process of developing customised reliable image segmentation algorithms for the detection, and po... O Pauplin,P Caleb-Solly,J Smith - 《Pattern Recognition》 被引量...
图像到图像翻译(Image-to-Image Translation)任务可以将一张输入图像进行指定的风格转换,也就是最终学习到一个函数能让A域图像映射到B域内,以此为基础可以解决许多实际问题,如风格迁移、属性迁移、图像超分辨率等等,在内容创作领域的应用场景十分丰富。 图像到图像的翻译问题本质上与使用深度生成模型(deep generative mod...