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 …

Masked-attention mask transformer for universal image segmentation

B Cheng, I Misra, AG Schwing… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

Disentangled representation learning

X Wang, H Chen, Z Wu, W Zhu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Disentangled Representation Learning (DRL) aims to learn a model capable of identifying
and disentangling the underlying factors hidden in the observable data in representation …

Contrastive boundary learning for point cloud segmentation

L Tang, Y Zhan, Z Chen, B Yu… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Point cloud segmentation is fundamental in understanding 3D environments. However,
current 3D point cloud segmentation methods usually perform poorly on scene boundaries …

Salient object detection via integrity learning

M Zhuge, DP Fan, N Liu, D Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …