5 papers
Evolving in Tasks: Empowering the Multi-modality Large Language Model as the Computer Use Agent
Yuhao Cheng, Liang Tang, Shuxian Li +5
Computer use agents represent an emerging area in artificial intelligence, aiming to operate computers autonomously to fulfill user tasks, attracting significant attention from bot…
When Continue Learning Meets Multimodal Large Language Model: A Survey
Yukang Huo, Hao Tang
Recent advancements in Artificial Intelligence have led to the development of Multimodal Large Language Models (MLLMs). However, adapting these pre-trained models to dynamic data d…
FMRFT: Fusion Mamba and DETR for Query Time Sequence Intersection Fish Tracking
Mingyuan Yao, Yukang Huo, Qingbin Tian +5
Early detection of abnormal fish behavior caused by disease or hunger can be achieved through fish tracking using deep learning techniques, which holds significant value for indust…
A method for detecting dead fish on large water surfaces based on improved YOLOv10
Qingbin Tian, Yukang Huo, Mingyuan Yao +1
Dead fish frequently appear on the water surface due to various factors. If not promptly detected and removed, these dead fish can cause significant issues such as water quality de…
FA-YOLO: Research On Efficient Feature Selection YOLO Improved Algorithm Based On FMDS and AGMF Modules
Yukang Huo, Mingyuan Yao, Qingbin Tian +3
Over the past few years, the YOLO series of models has emerged as one of the dominant methodologies in the realm of object detection. Many studies have advanced these baseline mode…