Technology
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
Motivated by the above findings, we propose FedCCFA, a federated learning framework with classifier clustering and feature alignment.
MixFormerV2: Efficient Fully Transformer Tracking
Transformer-based trackers have achieved high accuracy on standard benchmarks.
The Implicit Bias of Gradient Descent on Separable Multiclass Data
However, there is a noticeable gap in analysis for multiclass classification, with only a handful of results which themselves are restricted to the cross-entropy loss.
3D-Aware Visual Question Answering about Parts, Poses and Occlusions
Visual question answering ( VQA) is a challenging task that requires an in-depth understanding of vision and language, as well as multi-modal reasoning.
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better Xun Wu
Preference data is crucial for aligning generative models with text prompts.
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
In this case, accurately recognizing the action requires richer contextual information from the background and surroundings.
