Recently, many semantic segmentation methods based on fully supervised learning are leading the way in the computer vision field. In particular, deep neura
Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a crucial role in environmental perception. Conventional learning-based visual
为了应对与现实世界领域的操作相关的挑战, 机器人必须有效地概括知识、 学习并在决策过程中保持透明。这项调查研究了机器人系统的语义推理技术, 它使机器人能够编码和使用语义知识, 包括关于世界的概念、 事实、 想法和信念。不断感知、 理解和概括语义知识使机器人能够识别问题和环境之间共享的有意义的模式, 从而更...
2024, ACM Computing Surveys TransRender: a transformer-based boundary rendering segmentation network for stroke lesions 2023, Frontiers in Neuroscience View all citing articles on ScopusQiankun Zhao received his B.S. degree in mechanical engineering from Dalian Jiaotong University, China, in 2018 and ...
1 shows the pipeline of deep multimodal segmentation. Several relevant surveys already exist, such as deep learning-based semantic segmentation [2], [3], [18], [19], indoor scene understanding [20], [21], multimodal perception for autonomous driving [22], multimodal human motion recognition [...
Dai, A., & Nießner, M. (2018). 3DMV: Joint 3D-multi-view prediction for 3D semantic scene segmentation. InEccv(Vol. 11214, pp. 458–474). Dai, A., Qi, C. R., & Nießner, M. (2017b). Shape completion using 3D-encoder-predictor CNNs and shape synthesis. InCvpr(pp. ...
Semantic segmentation can distinguish objects in remote sensing images at the pixel level. However, traditional semantic segmentation algorithms are more and more difficult to meet people's needs. With the rapid development of deep learning, especially its application in remote sensing images has greatly...
Our frame- work, which we term "Splice", does not involve adversar- ial training, nor does it require any additional input infor- mation such as semantic segmentation or correspondences, and can generate high resolution results, e.g., work in HD. We demonstrate high quality...
First, a change point segmentation method is proposed to divide each unlabeled trajectory into several travel segments, allowing for the extraction of travel features. Meanwhile, a machine learning model is trained on mode-labeled travel segments using the selected features. This model is then used ...
6.9 The ML and DL methods for researching emotions Speech Emotion Recognition is a field of study that seeks to infer the speaker's emotional state from speech data. Progress in emotion identification, according to various surveys, would simplify many systems. Consequently, raising the ...