Tag: image classification
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Optimizing CNNs for CIFAR-10: Ablation & Ensemble Study
Discover how empirical ablation and ensemble methods optimize CNN performance for CIFAR-10 image classification with up to 89.23% accuracy.
H-Sets: Discovering Feature Interactions in Image Classifiers
H-Sets framework enhances image classifier interpretability by detecting and attributing set-level feature interactions using Hessian-guided methods.
ST-STORM: Semantic Perception of Appearance in AI
Discover ST-STORM, a hybrid SSL framework that separates style and content to enhance semantic understanding in vision tasks like weather and medical imagi...
Survey of High-Level & Abstract Image Classification
Explore challenges and advances in high-level and abstract image classification with hybrid AI systems in computer vision research.
Visual Sparse Steering for Unsupervised Image Classification
Discover Visual Sparse Steering (VS2), an unsupervised method improving image classification accuracy using sparsity-guided vectors without labeled data.