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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 / 4,690 papers shown
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Mohsen Jafarzadeh
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Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM
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Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures
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Chenqi Li
A. Amirsoleimani
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18 Jan 2022
Distillation from heterogeneous unlabeled collections
Distillation from heterogeneous unlabeled collections
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49
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17 Jan 2022
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Yiding Wang
D. Sun
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106
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17 Jan 2022
VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services
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VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling
Zihan Liu
Jingwen Leng
Zhihui Zhang
Quan Chen
Chao Li
Minyi Guo
61
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17 Jan 2022
ALA: Naturalness-aware Adversarial Lightness Attack
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Liangru Sun
Qing Guo
Felix Juefei Xu
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Video Transformers: A Survey
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A. S. Johansen
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UDC: Unified DNAS for Compressible TinyML Models
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Ramon Matas
Hokchhay Tann
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SimReg: Regression as a Simple Yet Effective Tool for Self-supervised
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UniFormer: Unified Transformer for Efficient Spatiotemporal
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254
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A ConvNet for the 2020s
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Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
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206
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Avoiding Overfitting: A Survey on Regularization Methods for
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Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
C. F. G. Santos
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233
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GhostNets on Heterogeneous Devices via Cheap Operations
GhostNets on Heterogeneous Devices via Cheap Operations
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Yunhe Wang
Chang Xu
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Glance and Focus Networks for Dynamic Visual Recognition
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60
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CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation
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Reuben Dorent
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M. Ivory
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Kai Yao
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82
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A Sneak Attack on Segmentation of Medical Images Using Deep Neural
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Shuyue Guan
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47
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Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural
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Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks
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BottleFit: Learning Compressed Representations in Deep Neural Networks
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BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing
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66
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Compressing Models with Few Samples: Mimicking then Replacing
Compressing Models with Few Samples: Mimicking then Replacing
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VLMOffRL
73
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Multi-Robot Collaborative Perception with Graph Neural Networks
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80
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Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
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Class-Incremental Continual Learning into the eXtended DER-verse
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Improving Feature Extraction from Histopathological Images Through A
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GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD
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49
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Fast and High-Quality Image Denoising via Malleable Convolutions
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The GatedTabTransformer. An enhanced deep learning architecture for
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FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation
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AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform
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