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1602.07261
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
23 February 2016
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
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Papers citing
"Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning"
49 / 2,399 papers shown
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DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition
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RECOD Titans at ISIC Challenge 2017
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Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
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A Survey on Deep Learning in Medical Image Analysis
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Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
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YOLO9000: Better, Faster, Stronger
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Highway and Residual Networks learn Unrolled Iterative Estimation
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Beyond Skip Connections: Top-Down Modulation for Object Detection
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Tao Xiang
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Learning long-term dependencies for action recognition with a biologically-inspired deep network
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Xception: Deep Learning with Depthwise Separable Convolutions
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A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
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Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
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Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
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Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
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The Importance of Skip Connections in Biomedical Image Segmentation
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An Analysis of Deep Neural Network Models for Practical Applications
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Wide Residual Networks
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T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
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