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1610.02357
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Xception: Deep Learning with Depthwise Separable Convolutions
7 October 2016
François Chollet
MDE
BDL
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Papers citing
"Xception: Deep Learning with Depthwise Separable Convolutions"
50 / 2,479 papers shown
Title
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Improved Normalizing Flow-Based Speech Enhancement using an All-pole Gammatone Filterbank for Conditional Input Representation
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Deep Learning for Diagonal Earlobe Crease Detection
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Similarity of Neural Architectures using Adversarial Attack Transferability
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Decoupling Features in Hierarchical Propagation for Video Object Segmentation
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22
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Parameter-Free Average Attention Improves Convolutional Neural Network Performance (Almost) Free of Charge
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Multi-Scale Wavelet Transformer for Face Forgery Detection
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41
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The Lie Derivative for Measuring Learned Equivariance
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IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks
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MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
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25
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43
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PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object Detection
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Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum
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Digital and Physical Face Attacks: Reviewing and One Step Further
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InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference
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32
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Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
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StyleSwap: Style-Based Generator Empowers Robust Face Swapping
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Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram
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When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection
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Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images
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