Return of the Devil in the Details: Delving Deep into Convolutional Nets
Data up to Jan 2025
Total Citations Per Year
Abstract
References (27)
ImageNet Classification with Deep Convolutional Neural Networks
2012 • 67,909 citations
ImageNet: A large-scale hierarchical image database
2009 • 52,855 citations
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
2014 • 27,452 citations
The Pascal Visual Object Classes (VOC) Challenge
2009 • 16,797 citations
Backpropagation Applied to Handwritten Zip Code Recognition
1989 • 10,538 citations
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
2006 • 7,849 citations
Video Google: a text retrieval approach to object matching in videos
2003 • 6,462 citations
Visual categorization with bags of keypoints
2004 • 4,232 citations
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
2014 • 3,556 citations
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
2014 • 3,129 citations
Improving the Fisher Kernel for Large-Scale Image Classification
2010 • 2,611 citations
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
2014 • 2,476 citations
Caltech-256 Object Category Dataset
2007 • 2,476 citations
Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
2005 • 2,076 citations
Aggregating Local Image Descriptors into Compact Codes
2011 • 1,535 citations
Three things everyone should know to improve object retrieval
2012 • 1,371 citations
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
2014 • 1,067 citations
The devil is in the details: an evaluation of recent feature encoding methods
2011 • 861 citations
HCP: A Flexible CNN Framework for Multi-Label Image Classification
2015 • 764 citations
All About VLAD
2013 • 710 citations
CNN Features off-the-shelf: an Astounding Baseline for Recognition
2014 • 707 citations
Efficient Additive Kernels via Explicit Feature Maps
2011 • 683 citations
Visualizing and Understanding Convolutional Networks
2013 • 478 citations
On the burstiness of visual elements
2009 • 435 citations
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
2013 • 343 citations
Transformation Pursuit for Image Classification
2014 • 82 citations
Weakly supervised object recognition with convolutional neural networks
2014 • 67 citations
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