Transformer-based methods effectively capture global dependencies in images,
demonstrating outstanding performance in multiple visual tasks. However, existing …

Low-light Small Salient Object Detection (LS-SOD) focuses on small salient objects in low
light, a crucial and realistic problem for nighttime automatic driving and surveillance …

Images taken under non-ideal lighting conditions often suffer from uneven illumination,
resulting in image distortion and unclear details. To address these issues, researchers have …

Low-light object detection is an important research area in computer vision, but it is also a
difficult issue. This research offers a low-light target detection network, NLE-YOLO, based on …

Salient object detection (SOD) has achieved remarkable performance in well-lit scenes.
However, when generalized to low-light scenes, the performance of SOD shows significant …

Low-light or exposure-light image preprocessing and objects detection approaches are
investigated in order to accurately detect the surface defects of hot-rolled steel strips …