Existing work on VQA explores data augmentation to achieve better
genera...
In content-based image retrieval, the first-round retrieval result by si...
Generalization to out-of-distribution data has been a problem for Visual...
Existing Visual Question Answering (VQA) models are often fragile and
se...
Neural Architecture Search (NAS) is a powerful tool to automatically des...
Neural Architecture Search (NAS) is an open and challenging problem in
m...
Recently, reinforcement learning (RL) has been extensively studied and
a...
This paper explores the task of interactive image retrieval using natura...
Model-free deep reinforcement learning (RL) algorithms have been widely ...
We contribute a new dataset and a novel method for natural language base...
Existing methods for interactive image retrieval have demonstrated the m...
In this paper, we consider depth control problems of an autonomous under...
Feature pooling layers (e.g., max pooling) in convolutional neural netwo...