1.3k citations · 1.5k across the 19 of their papers we have counts for
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Measuring Progress in Fine-grained Vision-and-Language Understanding
Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal +2
While pretraining on large-scale image-text data from the Web has facilitated rapid progress on many vision-and-language (V&L) tasks, recent work has demonstrated that pretrained m…
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining
Emanuele Bugliarello, Aida Nematzadeh, Lisa Anne Hendricks
Recent work in vision-and-language pretraining has investigated supervised signals from object detection data to learn better, fine-grained multimodal representations. In this work…
Evaluating Visual Number Discrimination in Deep Neural Networks
Ivana Kajić, Aida Nematzadeh
The ability to discriminate between large and small quantities is a core aspect of basic numerical competence in both humans and animals. In this work, we examine the extent to whi…