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Found 5 papers, 2 papers with code
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications
One approach involves converting images into nodes by identifying significant keypoints within them.
Nighttime Dehaze-Enhancement
Moreover, we also propose a new network called NDENet (Nighttime Dehaze-Enhancement Network), which jointly performs dehazing and low-light enhancement in an end-to-end manner.
Revisiting RCAN: Improved Training for Image Super-Resolution
Image super-resolution (SR) is a fast-moving field with novel architectures attracting the spotlight.
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement
Low light conditions in aerial images adversely affect the performance of several vision based applications.
[Re] Training Binary Neural Networks using the Bayesian Learning Rule
When we tried this in a semantic segmentation context, we found that the results were very underwhelming and in contrast with the seemingly good results by the STE optimizer even with much hyperparameter tuning.
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