Results 51 to 60 of about 1,221,513 (328)
Exploring Cross-Image Pixel Contrast for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2021 Current semantic segmentation methods focus only on mining "local" context, i.e., dependencies between pixels within individual images, by context-aggregation modules (e.g., dilated convolution, neural attention) or structure-aware optimization criteria (
Wenguan Wang +5 more
semanticscholar +1 more source
Rethinking BiSeNet For Real-time Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 BiSeNet [28], [27] has been proved to be a popular two-stream network for real-time segmentation. However, its principle of adding an extra path to encode spatial information is time-consuming, and the backbones borrowed from pretrained tasks, e.g ...
Mingyuan Fan +6 more
semanticscholar +1 more source
Joint Object and Part Segmentation using Deep Learned Potentials [PDF]
, 2015 Segmenting semantic objects from images and parsing them into their respective semantic parts are fundamental steps towards detailed object understanding in computer vision. In this paper, we propose a joint solution that tackles semantic object and part
Cohen, Scott +5 more
core +1 more source
Language-Grounded Indoor 3D Semantic Segmentation in the Wild [PDF]
European Conference on Computer Vision, 2022 Recent advances in 3D semantic segmentation with deep neural networks have shown remarkable success, with rapid performance increase on available datasets.
Dávid Rozenberszki +2 more
semanticscholar +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Key objects’ semantic segmentation and power line extraction from the electric power corridor point cloud are critical steps in power line inspection.
Xiuning Liu +5 more
doaj +1 more source
Parallel Fully Convolutional Network for Semantic Segmentation
IEEE Access, 2021 Fully convolutional networks (FCNs) have been widely applied for dense classification tasks such as semantic segmentation. As a large number of works based on FCNs are proposed, various semantic segmentation models have been improved significantly ...
Jian Ji +5 more
doaj +1 more source
Applied Sciences, 2022 The modern urban environment is becoming more and more complex. In helping us identify surrounding objects, vehicle vision sensors rely more on the semantic segmentation ability of deep learning networks.
Yanyi Li, Jian Shi, Yuping Li
doaj +1 more source
BlitzNet: A Real-Time Deep Network for Scene Understanding [PDF]
, 2017 Real-time scene understanding has become crucial in many applications such as autonomous driving. In this paper, we propose a deep architecture, called BlitzNet, that jointly performs object detection and semantic segmentation in one forward pass ...
Dvornik, Nikita +3 more
core +4 more sources
Ensembling Instance and Semantic Segmentation for Panoptic Segmentation [PDF]
arXiv, 2023 We demonstrate our solution for the 2019 COCO panoptic segmentation task. Our method first performs instance segmentation and semantic segmentation separately, then combines the two to generate panoptic segmentation results. To enhance the performance, we add several expert models of Mask R-CNN in instance segmentation to tackle the data imbalance ...
arxiv
Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation
IEEE Access, 2019 Semantic segmentation performs pixel-wise classification for given images, which can be widely used in autonomous driving, robotics, medical diagnostics and etc.
Zhiying Cao +6 more
doaj +1 more source