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Found 3 papers, 1 papers with code
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
We argue that such random selection strategies of the patches may not necessarily represent sufficient information about the corresponding object and thereby mixing the labels according to that uninformative patch enables the model to learn unexpected feature representation.
Center Emphasized Visual Saliency and a Contrast-based Full Reference Image Quality Index
As a result, if the center part contains any visually salient information, it draws human attention even more and any distortion in that part will be better perceived than other parts.
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes
Hierarchical reinforcement learning is a principled approach that is able to tackle these challenging tasks.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
