Image Classification
588 papers
Papers per year
5
3
3
6
9
6
22
28
23
30
34
25
51
56
49
65
52
41
35
45
'10
'15
'20
'25
Papers
Using Ranking-CNN for Age Estimation
CVPR 2017
Viraliency: Pooling Local Virality
CVPR 2017
Zero-Shot Classification With Discriminative Semantic Representation Learning
CVPR 2017
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification
CVPR 2016
A Probabilistic Collaborative Representation Based Approach for Pattern Classification
CVPR 2016
CNN-RNN: A Unified Framework for Multi-Label Image Classification
CVPR 2016
Compact Bilinear Pooling
CVPR 2016
Convolutional Neural Fabrics
NeurIPS 2016
Deep Decision Network for Multi-Class Image Classification
CVPR 2016
DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations
CVPR 2016
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled
CVPR 2016
Deep Residual Learning for Image Recognition
CVPR 2016
Embedding Label Structures for Fine-Grained Feature Representation
CVPR 2016
Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction
CVPR 2016
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels
CVPR 2016
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
NeurIPS 2016
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning
CVPR 2016
Latent Embeddings for Zero-Shot Classification
CVPR 2016
Learning Deep Representation for Imbalanced Classification
CVPR 2016
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs
NeurIPS 2016
Learning Structured Inference Neural Networks With Label Relations
CVPR 2016
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification
CVPR 2016
Loss Functions for Top-k Error: Analysis and Insights
CVPR 2016
Mining Discriminative Triplets of Patches for Fine-Grained Classification
CVPR 2016
PPP: Joint Pointwise and Pairwise Image Label Prediction
CVPR 2016