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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"
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Title
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search
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Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques
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Few-Shot Learning with Global Class Representations
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Harmonized Multimodal Learning with Gaussian Process Latent Variable Models
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Recent Advances in Deep Learning for Object Detection
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Forced Spatial Attention for Driver Foot Activity Classification
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Highlight Every Step: Knowledge Distillation via Collaborative Teaching
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MixConv: Mixed Depthwise Convolutional Kernels
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Automatic detection of rare pathologies in fundus photographs using few-shot learning
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Understanding Video Content: Efficient Hero Detection and Recognition for the Game "Honor of Kings"
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Perceptually Motivated Method for Image Inpainting Comparison
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Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval
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Taeksoo Kim
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IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
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DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
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Symmetry Detection and Classification in Drawings of Graphs
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XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
Dushyant Mehta
Oleksandr Sotnychenko
Franziska Mueller
Weipeng Xu
Mohamed A. Elgharib
Pascal Fua
Hans-Peter Seidel
Helge Rhodin
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Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion
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Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities
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Improving performance of deep learning models with axiomatic attribution priors and expected gradients
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New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms
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