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ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis
To address this issue, we propose ADA-YOLO, a light-weight yet effective method for medical object detection that integrates attention-based mechanisms with the YOLOv8 architecture.
UniBriVL: Robust Universal Representation and Generation of Audio Driven Diffusion Models
Multimodal large models have been recognized for their advantages in various performance and downstream tasks.
Exploring Efficient-Tuned Learning Audio Representation Method from BriVL
Recently, researchers have gradually realized that in some cases, the self-supervised pre-training on large-scale Internet data is better than that of high-quality/manually labeled data sets, and multimodal/large models are better than single or bimodal/small models.
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