MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
1 version
WW
Weijun Wang
cs.CVcemented backfillCoupled modellingcross-scale functional relationshipcs.AIcs.LGcs.MMEnergy featureFloodsFractal dimension
On Valency
published · living versionsPreprints & journals
14 papers in the corpus · 2017–2025A Study on Three-Dimensional Flexible Mesh Influence on the Stability of Reserved Tunnels in Cemented Backfill.
2 citations
Experimental Study on Influence of Lime on Cross-Scale Characteristics of Cemented Backfill with Multiple Solid Wastes.
2 citations
Study on energy evolution and fractal characteristics of sandstone with different fracture dip angles under uniaxial compression.
24 citations
MobileNetV4 -- Universal Models for the Mobile Ecosystem
677 citations
Optimization of a Multiphase Mixed Flow Field in Backfill Slurry Preparation Based on Multiphase Flow Interaction.
12 citations
AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics
28 citations
Modelling urban flooding integrated with flow and sediment transport in drainage networks.
34 citations
MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context
3 citations
Discovering Multi-Hardware Mobile Models via Architecture Search
19 citations
FoodX-251: A Dataset for Fine-grained Food Classification
60 citations
Geo-Aware Networks for Fine-Grained Recognition
76 citations
Searching for MobileNetV3
9,605 citations
Presentation of an Approach on Determination of the Natural Frequency of Human Lumbar Spine Using Dynamic Finite Element Analysis.
8 citations
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
19,009 citations
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