Summary of Flow: Fusing and Shuffling Global and Local Views For Cross-user Human Activity Recognition with Imus, by Qi Qiu et al.
FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUsby…
FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUsby…
Character-Adapter: Prompt-Guided Region Control for High-Fidelity Character Customizationby Yuhang Ma, Wenting Xu, Jiji Tang, Qinfeng…
Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health careby Hassan…
An End-to-End, Segmentation-Free, Arabic Handwritten Recognition Model on KHATTby Sondos Aabed, Ahmad KhairaldinFirst submitted to…
VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Frameworkby Zhi Yao, Zhiqing Tang, Jiong…
MCSD: An Efficient Language Model with Diverse Fusionby Hua Yang, Duohai Li, Shiman LiFirst submitted…
Exploiting Diffusion Prior for Out-of-Distribution Detectionby Armando Zhu, Jiabei Liu, Keqin Li, Shuying Dai, Bo…
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learningby Xiaojun…
Accurate Explanation Model for Image Classifiers using Class Association Embeddingby Ruitao Xie, Jingbang Chen, Limai…
Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detectionby Ye Zhang, Qian Leng,…