Federated learning for green and sustainable 6G IIoT applications
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
Towards zero-shot object counting via deep spatial prior cross-modality fusion
Existing counting models predominantly operate on a specific category of objects, such as
crowds and vehicles. The recent emergence of multi-modal foundational models, eg …
crowds and vehicles. The recent emergence of multi-modal foundational models, eg …
A Fusion‐Based Dense Crowd Counting Method for Multi‐Imaging Systems
J Zhang, L Ye, J Wu, D Sun… - International Journal of …, 2023 - Wiley Online Library
Dense crowd counting has become an essential technology for urban security management.
The traditional crowd counting methods mainly apply to the scene with a single view and …
The traditional crowd counting methods mainly apply to the scene with a single view and …
Zero-shot object counting with vision-language prior guidance network
The majority of existing counting models are designed to operate on a singular object
category, such as crowds or vehicles. The emergence of multi-modal foundational models …
category, such as crowds or vehicles. The emergence of multi-modal foundational models …
Label noise robust crowd counting with loss filtering factor
Z Xu, H Lin, Y Chen, Y Li - Applied Artificial Intelligence, 2024 - Taylor & Francis
Crowd counting, a crucial computer vision task, aims at estimating the number of individuals
in various environments. Each person in crowd counting datasets is typically annotated by a …
in various environments. Each person in crowd counting datasets is typically annotated by a …
A Survey on Supervised, Unsupervised, and Semi-Supervised Approaches in Crowd Counting.
Quantifying the number of individuals in images or videos to estimate crowd density is a
challenging yet crucial task with significant implications for fields such as urban planning …
challenging yet crucial task with significant implications for fields such as urban planning …
Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey
W Zhou, L Zhao, R Zhang, Y Cui, H Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
Traffic Surveillance Systems (TSS) have become increasingly crucial in modern intelligent
transportation systems, with vision-based technologies playing a central role for scene …
transportation systems, with vision-based technologies playing a central role for scene …
Scale Attentive Aggregation Network for Crowd Counting and Localization in Smart City
Recent years have witnessed a remarkable proliferation of applications in smart cities.
Crowd analysis is a crucial subject, and it incorporates two subtasks in smart city systems, ie …
Crowd analysis is a crucial subject, and it incorporates two subtasks in smart city systems, ie …
eViTBins: Edge-Enhanced Vision-Transformer Bins for Monocular Depth Estimation on Edge Devices
Monocular depth estimation (MDE) remains a fundamental yet not well-solved problem in
computer vision. Current wisdom of MDE often achieves blurred or even indistinct depth …
computer vision. Current wisdom of MDE often achieves blurred or even indistinct depth …
DDRANet: A Dynamic Density-Region-Aware Network for Crowd Counting
In recent years, crowd counting has garnered increasing attention due to its wide range of
societal applications. However, the vast differences in crowd density distributions across …
societal applications. However, the vast differences in crowd density distributions across …