VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes
ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou +7 more
wiley +1 more source
Global-Local Feature Fusion Network for Remote Sensing Image Change Detection in Open-Pit Mining Areas. [PDF]
Zheng Z, Yang J, Lv G, Li Q, Wang Y.
europepmc +1 more source
CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng +5 more
wiley +1 more source
An integrated model for conglomerate reservoir quality classification based on graph attention and multiscale multimodal features. [PDF]
Zhao B, Liu S, Lou Y, Yin B.
europepmc +1 more source
Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu +6 more
wiley +1 more source
HydroNeuro: A Data-Efficient IoT Sensing and Edge-AI Framework for Real-Time Hydraulic Anomaly Detection. [PDF]
Somaali N +3 more
europepmc +1 more source
Boosting Embodied Visual Localisation Through Multi‐Granular Semantics and Multi‐Robot Consensus
ABSTRACT Achieving high accuracy and synergy remains extremely difficult for multi‐robot embodied visual localisation, which suffers from persistent real‐world challenges such as viewpoint ambiguity, appearance variation and dynamic occlusion. Conventional optimisation‐based methods often lead to incorrect feature matching without domain adaptation ...
Wenshuai Wang +4 more
wiley +1 more source
Deep learning-based phenology extraction and crop classification in arid oasis using Sentinel-2 time series. [PDF]
Wang C, Chi J, Zhang X, Zhang N.
europepmc +1 more source
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley +1 more source

