Adaptive Curve

Adaptive curve estimation is a rapidly developing field focusing on learning and applying flexible curves to diverse image processing and machine learning tasks. Current research emphasizes developing efficient algorithms, such as those based on polynomial or cubic curve formulations, and incorporating deep learning architectures like convolutional neural networks to estimate these curves adaptively, often for image enhancement (e.g., in low-light conditions or HDR reconstruction) or improved model selection in automated machine learning. These advancements enable improved performance in various applications, including object detection, image translation, and optimizing machine learning workflows, by allowing for more nuanced and data-driven adjustments compared to fixed functions.