Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Panda, Mahadev Prasad"'
Autor:
Panda, Mahadev Prasad, Tiezzi, Matteo, Vilas, Martina, Roig, Gemma, Eskofier, Bjoern M., Zanca, Dario
We introduce Foveation-based Explanations (FovEx), a novel human-inspired visual explainability (XAI) method for Deep Neural Networks. Our method achieves state-of-the-art performance on both transformer (on 4 out of 5 metrics) and convolutional mode
Externí odkaz:
http://arxiv.org/abs/2408.02123
Autor:
Prativadibhayankaram, Srivatsa, Panda, Mahadev Prasad, Seiler, Jürgen, Richter, Thomas, Sparenberg, Heiko, Fößel, Siegfried, Kaup, André
In this work, we present a comparison between color spaces namely YUV, LAB, RGB and their effect on learned image compression. For this we use the structure and color based learned image codec (SLIC) from our prior work, which consists of two branche
Externí odkaz:
http://arxiv.org/abs/2406.13709
Autor:
Prativadibhayankaram, Srivatsa, Panda, Mahadev Prasad, Richter, Thomas, Sparenberg, Heiko, Fößel, Siegfried, Kaup, André
We propose the structure and color based learned image codec (SLIC) in which the task of compression is split into that of luminance and chrominance. The deep learning model is built with a novel multi-scale architecture for Y and UV channels in the
Externí odkaz:
http://arxiv.org/abs/2401.17246