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Image Classification

467 directly classified papers

Papers per year

Papers

Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption AAAI 2023
Semantic-Enhanced Image Clustering AAAI 2023
Vision HGNN: An Image is More than a Graph of Nodes ICCV 2023
Learning Imbalanced Data With Vision Transformers CVPR 2023
Leveraging Sub-class Discimination for Compositional Zero-Shot Learning AAAI 2023
Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification AAAI 2023
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion AAAI 2023
Bugs in the Data: How ImageNet Misrepresents Biodiversity AAAI 2023
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility AAAI 2023
Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases NIPS 2023
CMNet: Contrastive Magnification Network for Micro-Expression Recognition AAAI 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations NIPS 2023
Doubly-Robust Self-Training NIPS 2023
Benchmarking Robustness to Adversarial Image Obfuscations NIPS 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NIPS 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification NIPS 2023
Automated Classification of Model Errors on ImageNet NIPS 2023
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition NIPS 2023
Two-Way Multi-Label Loss CVPR 2023
Patch-Based Privacy Preserving Neural Network for Vision Tasks WACV 2023
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023
QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks NIPS 2023
Vision GNN: An Image is Worth Graph of Nodes NIPS 2022
Hire-MLP: Vision MLP via Hierarchical Rearrangement CVPR 2022