The Bag of Curves approach in generating negative samples may have limitations in capturing the full range of variations in brightness and exposure levels that occur in real-world scenarios. One potential limitation is the fixed parameter values used for generating negative samples, which may not cover all possible variations in brightness adjustments required for effective contrastive learning. To address this limitation, the approach could be further improved by introducing a more dynamic parameter selection process that adapts to the specific characteristics of the input images.
Additionally, the Bag of Curves approach may not fully capture the complex interactions between different elements in the image that contribute to the overall visual quality. To enhance the approach, incorporating additional image processing techniques or leveraging more advanced curve generation methods could help in generating more diverse and representative negative samples that better align with the underlying physical imaging principles.