classification performance
Classification performance refers to various metrics used to evaluate how well a model is able to categorize data into predefined classes, typically measured by accuracy, precision, recall, F1 score, and area under the ROC curve (AUC).
- A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement
- Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
- Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
- Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
- Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
- Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
- SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization
- Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve