2025
ECSNN: Spiking Neural Networks for Efficient Exposure Correction in Endoscopy Imaging
ICASSP 2025accepted
The quality of endoscopic images is critical to the success of polyp segmentation, highlighting the need for accurate exposure correction in endoscopy. While traditional deep learning methods are effective, they demand substantial computational resources during inference. To address this, we propose…