Results 31 to 40 of about 1,221,513 (328)
CCNet: Criss-Cross Attention for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2018 Full-image dependencies provide useful contextual information to benefit visual understanding problems. In this work, we propose a Criss-Cross Network (CCNet) for obtaining such contextual information in a more effective and efficient way.
Zilong Huang +6 more
semanticscholar +1 more source
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers [PDF]
IEEE transactions on intelligent transportation systems (Print), 2022 Scene understanding based on image segmentation is a crucial component of autonomous vehicles. Pixel-wise semantic segmentation of RGB images can be advanced by exploiting complementary features from the supplementary modality ( ${X}$ -modality). However,
Huayao Liu +4 more
semanticscholar +1 more source
Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving
IEEE Access, 2023 Object detection and semantic segmentation are two fundamental problems in autonomous driving systems. As recent studies have illustrated the strong correlation between the two tasks, the joint development of object detection and semantic segmentation ...
Shakhboz Abdigapporov +3 more
doaj +1 more source
Unsupervised Semantic Segmentation by Distilling Feature Correspondences [PDF]
International Conference on Learning Representations, 2022 Unsupervised semantic segmentation aims to discover and localize semantically meaningful categories within image corpora without any form of annotation.
Mark Hamilton +4 more
semanticscholar +1 more source
Cross-view Transformers for real-time Map-view Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2022 We present cross-view transformers, an efficient attention-based model for map-view semantic segmentation from multiple cameras. Our architecture implicitly learns a mapping from individual camera views into a canonical map-view representation using a ...
Brady Zhou, Philipp Krahenbuhl
semanticscholar +1 more source
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2016 Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classification problems such as semantic segmentation.
Guosheng Lin +3 more
semanticscholar +1 more source
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2022 This paper proposes a new transformer-based framework to learn class-specific object localization maps as pseudo labels for weakly supervised semantic segmentation (WSSS).
Lian Xu +4 more
semanticscholar +1 more source
GroupPrompter: A Prompting Method for Semantic Segmentation Based on SAM
IEEE Access, 2023 The SAM shows remarkable generalization and transformable capabilities for category-agnostic segmentation. Although the semantics in latent space are explored slightly, more researches are working on instance segmentation.
Yichuang Luo +3 more
doaj +1 more source
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers [PDF]
Conference on Robot Learning, 2022 Bird's eye view (BEV) semantic segmentation plays a crucial role in spatial sensing for autonomous driving. Although recent literature has made significant progress on BEV map understanding, they are all based on single-agent camera-based systems.
Runsheng Xu +5 more
semanticscholar +1 more source
Learning to Adapt Structured Output Space for Semantic Segmentation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Convolutional neural network-based approaches for semantic segmentation rely on supervision with pixel-level ground truth, but may not generalize well to unseen image domains.
Yi-Hsuan Tsai +5 more
semanticscholar +1 more source