Transformers have rapidly gained popularity in computer vision, especially in the field of
object recognition and detection. Upon examining the outcomes of state-of-the-art object …

Numerous studies in the field of music generation have demonstrated impressive
performance, yet virtually no models are able to directly generate music to match …

In response to various challenges, such as high computational complexity, large parameter
counts, and frequent vessel ID switching in ship tracking models, we propose a trajectory …

Small object detection has been a longstanding challenge in the field of object detection,
and achieving high detection accuracy is crucial for autonomous driving, especially for small …

Computer-aided deep learning has significantly advanced road crack segmentation.
However, supervised models face challenges due to limited annotated images. There is also …

Nearshore multi-object tracking (NMOT) aims to locat and identify nearshore objects. Most
approaches accomplish this task using radar and remote-sensing technologies. In contrast …

针对实际环境下印刷电路板(PCB) 缺陷样本难以收集造成的数据长尾分布和检测精度低以及ViT
用于检测时计算复杂度高等问题, 提出多尺度ViT 特征提取和注意力特征融合的端到端PCB …

To address the issues of varying defect sizes, inconsistent data quality, and real-time
detection challenges in steel defect detection, we propose a real-time efficient steel defect …

Smoke is an obvious sign of pre-fire. However, due to its variable morphology, the existing
schemes are difficult to extract precise smoke characteristics, which seriously affects the …