Summary of A Fuzzy-based Approach to Predict Human Interaction by Functional Near-infrared Spectroscopy, By Xiaowei Jiang et al.
A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopyby Xiaowei Jiang, Liang Ou,…
A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopyby Xiaowei Jiang, Liang Ou,…
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approachby David Bertoin, Eduardo Hugo…
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in…
Attention Prompting on Image for Large Vision-Language Modelsby Runpeng Yu, Weihao Yu, Xinchao WangFirst submitted…
Harnessing Diversity for Important Data Selection in Pretraining Large Language Modelsby Chi Zhang, Huaping Zhong,…
Neuromorphic Drone Detection: an Event-RGB Multimodal Approachby Gabriele Magrini, Federico Becattini, Pietro Pala, Alberto Del…
Beyond Text-to-Text: An Overview of Multimodal and Generative Artificial Intelligence for Education Using Topic Modelingby…
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answeringby Junjie Ye, Yuming Yang, Qi…
PixelBytes: Catching Unified Embedding for Multimodal Generationby Fabien FurfaroFirst submitted to arxiv on: 3 Sep…
A-VL: Adaptive Attention for Large Vision-Language Modelsby Junyang Zhang, Mu Yuan, Ruiguang Zhong, Puhan Luo,…