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MobileNetV2: Inverted Residuals and Linear Bottlenecks
v1v2v3v4 (latest)

MobileNetV2: Inverted Residuals and Linear Bottlenecks

13 January 2018
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
ArXiv (abs)PDFHTML

Papers citing "MobileNetV2: Inverted Residuals and Linear Bottlenecks"

50 / 4,673 papers shown
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Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs
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Hardware Aware Evolutionary Neural Architecture Search using
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SBCFormer: Lightweight Network Capable of Full-size ImageNet
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Masanori Suganuma
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CapST: Leveraging Capsule Networks and Temporal Attention for Accurate Model Attribution in Deep-fake Videos
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Efficient and Low-Footprint Object Classification using Spatial Contrast
Efficient and Low-Footprint Object Classification using Spatial Contrast
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Enabling In-Situ Resources Utilisation by leveraging collaborative
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Cristina Luna
Alba Guerra
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Marker-Based Localisation System Using an Active PTZ Camera and
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U-Xuan Tan
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Monocular UAV Localisation with Deep Learning and Uncertainty
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Monocular UAV Localisation with Deep Learning and Uncertainty Propagation
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