2017. Making the v in vqa matter: Elevating the role of image understanding in visual question answering. In CVPR, volume 1, 9.Y. Goyal, T. Khot, D. Summers-Stay, D. Batra, and D. Parikh. Making the v in vqa matter: Elevating the role of image understanding in visual question ...
Introduced in the Paper: Visual Question Answering v2.0 Used in the Paper: MS COCO Visual Question Answering Results from the Paper Edit Ranked #3 on Visual Question Answering (VQA) on COCO Visual Question Answering (VQA) real images 2.0 open ended Get a GitHub badge Task...
While previous VL research focuses mainly on improving the vision-language fusion model and leaves the object detection model improvement untouched, we show that visual features matter significantly in VL models. In our experiments we feed the visual features generated by the new object detection ...
The problem of visual question answering (VQA) is of significant importance both as a challenging research question and for the rich set of applications it enables. In this context, however, inherent structure in our world and bias in our language tend to be a simpler signal for learning than...
Parikh. Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering. In International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 5, 6, 8Y. Goyal, T. Khot, D. Summers-Stay, D. Batra, and D. Parikh. Making the V in VQA...
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh, "Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answer- ing," in Conference on Computer Vision and Pattern Recogni- tion (CVPR), 2017....