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
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'25
Papers
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
CVPR 2020
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract)
AAAI 2020
Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization
AAAI 2020
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes
AAAI 2020
Gated Convolutional Networks with Hybrid Connectivity for Image Classification
AAAI 2020
Generalized Zero-Shot Learning via Over-Complete Distribution
CVPR 2020
GhostNet: More Features From Cheap Operations
CVPR 2020
Graph-Propagation Based Correlation Learning for Weakly Supervised Fine-Grained Image Classification
AAAI 2020
Hierarchical Granularity Transfer Learning
NeurIPS 2020
Hyperbolic Image Embeddings
CVPR 2020
Improving robustness against common corruptions by covariate shift adaptation
NeurIPS 2020
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition
CVPR 2020
Interactive Multi-Label CNN Learning With Partial Labels
CVPR 2020
Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract)
AAAI 2020
Learning Attentive Pairwise Interaction for Fine-Grained Classification
AAAI 2020
Learning From Web Data With Self-Organizing Memory Module
CVPR 2020
Learning Loss for Test-Time Augmentation
NeurIPS 2020
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
CVPR 2020
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification
AAAI 2020
Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition
CVPR 2020
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition
AAAI 2020
Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks
CVPR 2020
Multi-Label Classification with Label Graph Superimposing
AAAI 2020
Multiscale Deep Equilibrium Models
NeurIPS 2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
ICLR 2020