5 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.AI2023★ 5 cited
Precise Benchmarking of Explainable AI Attribution Methods
Rafaël Brandt, Daan Raatjens, Georgi Gaydadjiev
The rationale behind a deep learning model's output is often difficult to understand by humans. EXplainable AI (XAI) aims at solving this by developing methods that improve interpr…
cs.DC2019★ 2 cited
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
B. Salami, K. Parasyris, A. Cristal +42
The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engi…
cs.CV2019
Feedbackward Decoding for Semantic Segmentation
Beinan Wang, John Glossner, Daniel Iancu +1
We propose a novel approach for semantic segmentation that uses an encoder in the reverse direction to decode. Many semantic segmentation networks adopt a feedforward encoder-decod…