To resolve these issues, we proposed semantic multiclass segmentation and classification (SMSC) of kidney lesions. Here, we introduced the integrated edge detection module with dilated residual UNet (IED-ResUNet) for effective segmentation and the Hopfield convolutional neural network (HCNN) for ...
In colorectal cancer (CRC), artificial intelligence (AI) can alleviate the laborious task of characterization and reporting on resected biopsies, including polyps, the numbers of which are increasing as a result of CRC population screening programs ongoi
这篇文章提出了一个新的基于transformer的框架,为 weakly supervised semantic segmenta-tion (WSSS) 任务学习一个作为伪标签的 class-specific object localization maps 。受 standard vision transformer 中单类标记的参与区域可以用来形成与类无关的定位图这一事实的启发,作者研究了 transformer 模型是否也能通过学习tr...
在以往的研究中,通常将VIT中一个class token和所有的patch token一起参与训练,在训练结束后,单独提取class token做下游任务(分类、分割等),但是在多标签任务(multi-label)和语义分割(Semantic Segmentation)等任务中,用单个class token来实现常常效果不佳,因为单个class token只能指导与类无关(class-agnostic)的定位映...
具体来说,我们设计了一个新的框架,称为多源对抗域聚合网络(MADAN),它可以以端到端的方式进行训练。首先,我们为每个源生成一个具有动态语义一致性的自适应域,同时在像素级循环上一致地对准目标。其次,我们提出了子域聚合鉴别器和跨域循环鉴别器,以使不同的适应域更紧密地聚合。最后,在训练分割网络的同时,在聚合域...
For bottom–up ID models, we modify the PAF-based approach by substituting PAFs with class segmentation maps. In this construction, we leverage the point–coordinate form of pose annotations to generate a binary mask at a fixed radius around each body part location. Masks for body parts are ...
[语义分割]--ICCV2019-Dynamic Multi-scale Filters for Semantic Segmentation,程序员大本营,技术文章内容聚合第一站。
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmen
There’s an important technology that is commonly used in autonomous driving, medical imaging, and even Zoom virtual backgrounds: semantic segmentation.
【CVPR2022】Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation 代码:github.com/facebookrese 核心思想和主要方法 这个论文的核心思想就是将 HRNet 和 Transformer 相结合,同时,为了应用于密集预测任务,提出了避免计算复杂度过高的解决方案。 网络的整体架构如下图所示,可以看出整体结构和 HRNet ...