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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
Title
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A deep cut into Split Federated Self-supervised Learning
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Marcin Osial
Bartosz Zieliñski
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96
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12 Jun 2024
Towards Fundamentally Scalable Model Selection: Asymptotically Fast
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Weiming Zhuang
Lingjuan Lyu
105
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11 Jun 2024
ReduceFormer: Attention with Tensor Reduction by Summation
ReduceFormer: Attention with Tensor Reduction by Summation
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Le An
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92
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11 Jun 2024
Comparing Deep Learning Models for Rice Mapping in Bhutan Using High
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Comparing Deep Learning Models for Rice Mapping in Bhutan Using High Resolution Satellite Imagery
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Timothy Mayer
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1
0
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Minimizing Energy Costs in Deep Learning Model Training: The Gaussian
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Sumohana S. Channappayya
C Krishna Mohan
127
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Heterogeneous Learning Rate Scheduling for Neural Architecture Search on
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Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
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Optimisation of federated learning settings under statistical
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Optimisation of federated learning settings under statistical heterogeneity variations
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M. J. Alibasa
R. Purwanto
Lewis Jeffries
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Jacky Song
FedML
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Texture Re-scalable Universal Adversarial Perturbation
Texture Re-scalable Universal Adversarial Perturbation
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Qing Guo
Felix Juefei-Xu
Ming Hu
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Xiaochun Cao
Geguang Pu
Yang Liu
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Soundscape Captioning using Sound Affective Quality Network and Large
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Scaling Graph Convolutions for Mobile Vision
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Evolution-aware VAriance (EVA) Coreset Selection for Medical Image
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Provably Better Explanations with Optimized Aggregation of Feature
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Real-Time Spacecraft Pose Estimation Using Mixed-Precision Quantized
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Conv-INR: Convolutional Implicit Neural Representation for Multimodal
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Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition
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222
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EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
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Advancing Generalized Transfer Attack with Initialization Derived
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Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
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Accelerating Heterogeneous Federated Learning with Closed-form
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Multi-Objective Neural Architecture Search by Learning Search Space
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An Organic Weed Control Prototype using Directed Energy and Deep
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Puff-Net: Efficient Style Transfer with Pure Content and Style Feature
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Weights Augmentation: it has never ever ever ever let her model down
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Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided
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