Guided depth map super-resolution: A survey

Z Zhong, X Liu, J Jiang, D Zhao, X Ji - ACM Computing Surveys, 2023 - dl.acm.org
Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution
depth map from a low-resolution observation with the help of a paired high-resolution color …

[HTML][HTML] Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives

G Rizzoli, F Barbato, P Zanuttigh - Technologies, 2022 - mdpi.com
The perception of the surrounding environment is a key requirement for autonomous driving
systems, yet the computation of an accurate semantic representation of the scene starting …

Omnivore: A single model for many visual modalities

R Girdhar, M Singh, N Ravi… - Proceedings of the …, 2022 - openaccess.thecvf.com
Prior work has studied different visual modalities in isolation and developed separate
architectures for recognition of images, videos, and 3D data. Instead, in this paper, we …

GMNet: Graded-feature multilabel-learning network for RGB-thermal urban scene semantic segmentation

W Zhou, J Liu, J Lei, L Yu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Semantic segmentation is a fundamental task in computer vision, and it has various
applications in fields such as robotic sensing, video surveillance, and autonomous driving. A …

CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers

J Zhang, H Liu, K Yang, X Hu, R Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Cross-level feature aggregation network for polyp segmentation

T Zhou, Y Zhou, K He, C Gong, J Yang, H Fu, D Shen - Pattern Recognition, 2023 - Elsevier
Accurate segmentation of polyps from colonoscopy images plays a critical role in the
diagnosis and cure of colorectal cancer. Although effectiveness has been achieved in the …

Delivering arbitrary-modal semantic segmentation

J Zhang, R Liu, H Shi, K Yang, S Reiß… - Proceedings of the …, 2023 - openaccess.thecvf.com
Multimodal fusion can make semantic segmentation more robust. However, fusing an
arbitrary number of modalities remains underexplored. To delve into this problem, we create …

Semantic segmentation for real point cloud scenes via bilateral augmentation and adaptive fusion

S Qiu, S Anwar, N Barnes - … of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
Given the prominence of current 3D sensors, a fine-grained analysis on the basic point
cloud data is worthy of further investigation. Particularly, real point cloud scenes can …

Changer: Feature interaction is what you need for change detection

S Fang, K Li, Z Li - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Change detection is an important tool for long-term Earth observation missions. It takes bi-
temporal images as input and predicts “where” the change has occurred. Different from other …

UrbanLF: A comprehensive light field dataset for semantic segmentation of urban scenes

H Sheng, R Cong, D Yang, R Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As one of the fundamental technologies for scene understanding, semantic segmentation
has been widely explored in the last few years. Light field cameras encode the geometric …