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Computer Vision
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Analysis
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Image Classification
467 directly classified papers
Papers per year
2006: 3
2008: 2
2009: 2
2010: 2
2011: 5
2012: 6
2013: 18
2014: 21
2015: 21
2016: 27
2017: 32
2018: 20
2019: 50
2020: 53
2021: 48
2022: 59
2023: 37
2024: 33
2025: 28
Papers
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild
CVPR 2017
Joint Registration and Representation Learning for Unconstrained Face Identification
CVPR 2017
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
CVPR 2017
Fine-Grained Recognition as HSnet Search for Informative Image Parts
CVPR 2017
Dilated Residual Networks
CVPR 2017
Low-Rank Bilinear Pooling for Fine-Grained Classification
CVPR 2017
Zero-Shot Classification With Discriminative Semantic Representation Learning
CVPR 2017
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features
CVPR 2017
Unsupervised Part Learning for Visual Recognition
CVPR 2017
Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?
CVPR 2017
SketchNet: Sketch Classification With Web Images
CVPR 2016
PPP: Joint Pointwise and Pairwise Image Label Prediction
CVPR 2016
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning
CVPR 2016
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification
CVPR 2016
Learning Deep Representation for Imbalanced Classification
CVPR 2016
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification
CVPR 2016
Unsupervised Learning of Discriminative Attributes and Visual Representations
CVPR 2016
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled
CVPR 2016
Seeing Behind the Camera: Identifying the Authorship of a Photograph
CVPR 2016
Region Ranking SVM for Image Classification
CVPR 2016
Learning Structured Inference Neural Networks With Label Relations
CVPR 2016
A Probabilistic Collaborative Representation Based Approach for Pattern Classification
CVPR 2016
Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels
CVPR 2016
CNN-RNN: A Unified Framework for Multi-Label Image Classification
CVPR 2016
Deep Decision Network for Multi-Class Image Classification
CVPR 2016
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