98 citations · 111 across the 4 of their papers we have counts for
4 papers · 1 filter
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool
Feng Liu, Tao Xiang, Timothy M. Hospedales +2
In recent years, visual question answering (VQA) has become topical. The premise of VQA's significance as a benchmark in AI, is that both the image and textual question need to be…
iVQA: Inverse Visual Question Answering
Feng Liu, Tao Xiang, Timothy M. Hospedales +2
We propose the inverse problem of Visual question answering (iVQA), and explore its suitability as a benchmark for visuo-linguistic understanding. The iVQA task is to generate a qu…
Actor-Critic Sequence Training for Image Captioning
Li Zhang, Flood Sung, Feng Liu +4
Generating natural language descriptions of images is an important capability for a robot or other visual-intelligence driven AI agent that may need to communicate with human users…
Semantic Regularisation for Recurrent Image Annotation
Feng Liu, Tao Xiang, Timothy M. Hospedales +2
The "CNN-RNN" design pattern is increasingly widely applied in a variety of image annotation tasks including multi-label classification and captioning. Existing models use the weak…