16 citations · 16 across the 1 of their papers we have counts for
3 papers
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch +1
Providing explanations in the context of Visual Question Answering (VQA) presents a fundamental problem in machine learning. To obtain detailed insights into the process of generat…
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser, Oana-Maria Camburu, Leonard Salewski +4
Recently, there has been an increasing number of efforts to introduce models capable of generating natural language explanations (NLEs) for their predictions on vision-language (VL…
Relational Generalized Few-Shot Learning
Xiahan Shi, Leonard Salewski, Martin Schiegg +2
Transferring learned models to novel tasks is a challenging problem, particularly if only very few labeled examples are available. Although this few-shot learning setup has receive…