3 papers
cs.CV2024
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation
Ruoxin Wang, Tianyi Tang, Haiming Du +7
Brain tumor segmentation models have aided diagnosis in recent years. However, they face MRI complexity and variability challenges, including irregular shapes and unclear boundarie…
cs.CV2024
Exploiting Low-level Representations for Ultra-Fast Road Segmentation
Huan Zhou, Feng Xue, Yucong Li +3
Achieving real-time and accuracy on embedded platforms has always been the pursuit of road segmentation methods. To this end, they have proposed many lightweight networks. However,…
cs.CV2024
Toward Real Text Manipulation Detection: New Dataset and New Solution
Dongliang Luo, Yuliang Liu, Rui Yang +4
With the surge in realistic text tampering, detecting fraudulent text in images has gained prominence for maintaining information security. However, the high costs associated with…