A high-performance image compression algorithm is crucial for real-time information transmission across numerous fields. Despite rapid progress in image compression, computational inefficiency and ...

Abstract: Inspired by the human visual system (HVS), no-reference image quality assessment (NR-IQA) has made significant progress without relying on perfect reference images. The HVS is primarily ...

Abstract: Recently, state space models (SSM) with efficient design, i.e., Mamba, have shown great potential in modeling long-range dependencies with linear complexity. However, the pure SSM-based ...

Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, complicated driving ...