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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 / 8,554 papers shown
Title
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Image Privacy Prediction Using Deep Neural Networks
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Knowledge-Embedded Routing Network for Scene Graph Generation
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Deep CNN-based Multi-task Learning for Open-Set Recognition
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A Learnable ScatterNet: Locally Invariant Convolutional Layers
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Carles Gelada
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Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
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Yizhou Yu
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Mean-field Analysis of Batch Normalization
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J. Stokes
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Defining Image Memorability using the Visual Memory Schema
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Juan Pablo de Vicente
G. Sepulveda
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Piotr Wojciech Mirowski
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M. Gomez-Barrero
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What you get is not always what you see: pitfalls in solar array assessment using overhead imagery
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Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
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Dynamic Deep Multi-modal Fusion for Image Privacy Prediction
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27 Feb 2019
Object-driven Text-to-Image Synthesis via Adversarial Training
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300
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StyleRemix: An Interpretable Representation for Neural Image Style Transfer
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46
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Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
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Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
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S. Wäldchen
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the Alzheimer's Disease Neuroimaging Initiative
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Deep High-Resolution Representation Learning for Human Pose Estimation
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3DV
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Towards Corner Case Detection for Autonomous Driving
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Quantifying Perceptual Distortion of Adversarial Examples
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N. Manoj
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Latent Translation: Crossing Modalities by Bridging Generative Models
Yingtao Tian
Jesse Engel
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21 Feb 2019
Deep Discriminative Representation Learning with Attention Map for Scene Classification
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Daoyu Lin
Yang Wang
Guangluan Xu
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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200
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Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
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Lars Rosenbaum
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Claudius Gläser
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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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Negar Rostamzadeh
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WIDER Face and Pedestrian Challenge 2018: Methods and Results
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Yuanjun Xiong
Shuo Yang
...
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Ziyang Wu
Lei Lu
Yiheng Liu
Wen-gang Zhou
CVBM
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Semantically Interpretable and Controllable Filter Sets
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Gukyeong Kwon
Dogancan Temel
G. Al-Regib
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Deep Learning for Image Super-resolution: A Survey
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Jian Chen
Guosheng Lin
SupR
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MultiGrain: a unified image embedding for classes and instances
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Hervé Jégou
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Iasonas Kokkinos
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Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification
Colin Samplawski
H. Kwon
Erik Learned-Miller
Benjamin M. Marlin
VLM
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Do ImageNet Classifiers Generalize to ImageNet?
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Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
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DeeperLab: Single-Shot Image Parser
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Maxwell D. Collins
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Liang-Chieh Chen
SSeg
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191
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Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes
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D. P. Dogra
Heeseung Choi
Seungho Chae
Ig-Jae Kim
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13 Feb 2019
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