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1512.00567
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Rethinking the Inception Architecture for Computer Vision
2 December 2015
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
Re-assign community
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Papers citing
"Rethinking the Inception Architecture for Computer Vision"
50 / 6,623 papers shown
Title
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
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Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
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150
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0
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Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks
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Shir Gur
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Multi-vision Attention Networks for On-line Red Jujube Grading
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31 Mar 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
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30 Mar 2019
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Masahiro Miwa
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ByungSoo Ko
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24 Mar 2019
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0
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Shuo Wang
Ratnesh Kumar
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21 Mar 2019
DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection
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312
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20 Mar 2019
Deep Octonion Networks
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63
44
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Convolution with even-sized kernels and symmetric padding
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49
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Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
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Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture
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18 Mar 2019
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76
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AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design
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Z. Q. Lin
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57
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0
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Bag of Tricks and A Strong Baseline for Deep Person Re-identification
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181
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Domain adaptation for holistic skin detection
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Selective Kernel Networks
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109
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HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
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Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
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188
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Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints
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68
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0
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0
08 Mar 2019
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63
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0
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Attack Type Agnostic Perceptual Enhancement of Adversarial Images
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44
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Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
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Xiangru Lin
Yizhou Yu
107
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0
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Video-based surgical skill assessment using 3D convolutional neural networks
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S. T. Mees
Jürgen Weitz
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85
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0
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Copying Machine Learning Classifiers
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Jordi Nin
O. Pujol
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Accelerating Training of Deep Neural Networks with a Standardization Loss
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