3 accepted papers
This paper addresses vision-based subway positioning, a significant yet challenging task due to the low-lighting and sparse-texture conditions in tunnels. Traditional features struggle with temporal correspondence. While deep network features are effective, their computational and storage demands ma
Online video object segmentation is a challenging task as it entails to process the image sequence timely and accurately. To segment a target object through the video, numerous CNN-based methods have been developed by heavily finetuning on the object mask in the first frame, which is time-consuming…
This paper proposes an end-to-end trainable network, SegFlow, for simultaneously predicting pixel-wise object segmentation and optical flow in videos. The proposed SegFlow has two branches where useful information of object segmentation and optical flow is propagated bidirectionally in a unified fra…