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1409.0575
Cited By
ImageNet Large Scale Visual Recognition Challenge
1 September 2014
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
Sean Ma
Zhiheng Huang
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
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Papers citing
"ImageNet Large Scale Visual Recognition Challenge"
50 / 8,071 papers shown
Title
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All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
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Image Privacy Prediction Using Deep Neural Networks
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Deep CNN-based Multi-task Learning for Open-Set Recognition
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Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
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Mean-field Analysis of Batch Normalization
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Dynamic Deep Multi-modal Fusion for Image Privacy Prediction
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Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
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the Alzheimer's Disease Neuroimaging Initiative
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Deep Discriminative Representation Learning with Attention Map for Scene Classification
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Daoyu Lin
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C. Ding
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Error bounds for approximations with deep ReLU neural networks in
W
s
,
p
W^{s,p}
W
s
,
p
norms
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Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
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Christian Haase-Schuetz
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Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
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Adaptive Cross-Modal Few-Shot Learning
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Boris N. Oreshkin
Pedro H. O. Pinheiro
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WIDER Face and Pedestrian Challenge 2018: Methods and Results
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...
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CVBM
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Semantically Interpretable and Controllable Filter Sets
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Dogancan Temel
G. Al-Regib
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Deep Learning for Image Super-resolution: A Survey
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Jian Chen
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MultiGrain: a unified image embedding for classes and instances
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Hervé Jégou
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Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification
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H. Kwon
Erik Learned-Miller
Benjamin M. Marlin
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Do ImageNet Classifiers Generalize to ImageNet?
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DeeperLab: Single-Shot Image Parser
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Vivienne Sze
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13 Feb 2019
Learning to see across Domains and Modalities
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13 Feb 2019
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