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Found 2 papers, 1 papers with code
CFAT: Unleashing TriangularWindows for Image Super-resolution
To overcome these weaknesses, we propose a non-overlapping triangular window technique that synchronously works with the rectangular one to mitigate boundary-level distortion and allows the model to access more unique sifting modes.
Visual Interest Prediction with Attentive Multi-Task Transfer Learning
Visual interest & affect prediction is a very interesting area of research in the area of computer vision.
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