Sep 10, 2024 · In this study, a lightweight multi-scale feature dense cascade neural network (LMFDCNet) is proposed in real-time scene understanding in complex scenes.
Lightweight multi-scale feature dense cascade neural network for scene understanding of intelligent autonomous platform. Expert Syst. Appl. 259: 125354 ...
References (46). Lightweight multi-scale feature dense cascade neural network for scene understanding of intelligent autonomous platform. Article. Sep 2024 ...
In this paper, we propose a lightweight multi-scale asymmetric encoder–decoder network (LMANet) that is designed on the basis of an encoder–decoder structure.
Lightweight multi-scale feature dense cascade neural network for scene understanding of intelligent autonomous platform. Expert Systems with Applications.
Lightweight multi-scale feature dense cascade neural network for scene understanding of intelligent autonomous platform. Article. Sep 2024; EXPERT SYST APPL.
May 24, 2024 · To address this issue, we leverage the inherent capabilities of the model itself to discover the optimal equilibrium in multimodal fusion and ...
Oct 19, 2023 · In this paper, we present a novel semantic segmentation approach for autonomous driving scenes using a Multi-Scale Adaptive Mechanism (MSAAM).
Lightweight multi-scale feature dense cascade neural network for scene understanding of intelligent autonomous platform. Expert Syst. Appl. 259: 125354 (2025) ...
The SPP technique has been explored and combined with some deep CNN (DCNN) models, whereby it allows the model to generate fixed-length representations, ...
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