30 citations · 68 across the 5 of their papers we have counts for
3 papers · 1 filter
Explainable Deep Classification Models for Domain Generalization
Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi +5
Conventionally, AI models are thought to trade off explainability for lower accuracy. We develop a training strategy that not only leads to a more explainable AI system for object…
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)
Danna Gurari, Kun He, Bo Xiong +6
We propose the ambiguity problem for the foreground object segmentation task and motivate the importance of estimating and accounting for this ambiguity when designing vision syste…
Salient Object Subitizing
Jianming Zhang, Shugao Ma, Mehrnoosh Sameki +6
We study the problem of Salient Object Subitizing, i.e. predicting the existence and the number of salient objects in an image using holistic cues. This task is inspired by the abi…