A metaverse: Taxonomy, components, applications, and open challenges
SM Park, YG Kim - IEEE access, 2022 - ieeexplore.ieee.org
Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …
based on the social value of Generation Z that online and offline selves are not different …
Masked-attention mask transformer for universal image segmentation
Image segmentation groups pixels with different semantics, eg, category or instance
membership. Each choice of semantics defines a task. While only the semantics of each task …
membership. Each choice of semantics defines a task. While only the semantics of each task …
Disentangled representation learning
Disentangled Representation Learning (DRL) aims to learn a model capable of identifying
and disentangling the underlying factors hidden in the observable data in representation …
and disentangling the underlying factors hidden in the observable data in representation …
Contrastive boundary learning for point cloud segmentation
Point cloud segmentation is fundamental in understanding 3D environments. However,
current 3D point cloud segmentation methods usually perform poorly on scene boundaries …
current 3D point cloud segmentation methods usually perform poorly on scene boundaries …
Salient object detection via integrity learning
Although current salient object detection (SOD) works have achieved significant progress,
they are limited when it comes to the integrity of the predicted salient regions. We define the …
they are limited when it comes to the integrity of the predicted salient regions. We define the …
Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving
J Li, H Dai, H Han, Y Ding - … of the IEEE/CVF conference on …, 2023 - openaccess.thecvf.com
LiDAR and camera are two modalities available for 3D semantic segmentation in
autonomous driving. The popular LiDAR-only methods severely suffer from inferior …
autonomous driving. The popular LiDAR-only methods severely suffer from inferior …