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1610.02357
Cited By
Xception: Deep Learning with Depthwise Separable Convolutions
7 October 2016
François Chollet
MDE
BDL
PINN
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Papers citing
"Xception: Deep Learning with Depthwise Separable Convolutions"
50 / 2,487 papers shown
Title
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Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset
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Hongwei Guo
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FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
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Simon S. Woo
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Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
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Liguang Zhou
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On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models
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OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild
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Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
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Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle
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A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs
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MAG-Net: Multi-task attention guided network for brain tumor segmentation and classification
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26 Jul 2021
Contextual Transformer Networks for Visual Recognition
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Log-Polar Space Convolution for Convolutional Neural Networks
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Bias Loss for Mobile Neural Networks
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Per-Pixel Classification is Not All You Need for Semantic Segmentation
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Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales
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0
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LANA: Latency Aware Network Acceleration
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Jimmy Hall
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31
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0
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Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms
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BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
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CSL-YOLO: A New Lightweight Object Detection System for Edge Computing
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J. Hsieh
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15
21
0
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Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait
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4
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Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
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Rohan Taori
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Vaishaal Shankar
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Y. Carmon
Ludwig Schmidt
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0
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Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
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32
145
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Understanding the Distributions of Aggregation Layers in Deep Neural Networks
Eng-Jon Ong
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Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration
Saad Abbasi
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11
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EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
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10
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08 Jul 2021
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