Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

As one of the fundamental problems in the field of video understanding, video object
segmentation aims at segmenting objects of interest throughout the given video sequence …

This paper presents a simple yet effective approach to modeling space-time
correspondences in the context of video object segmentation. Unlike most existing …

Abstract We present Siam R-CNN, a Siamese re-detection architecture which unleashes the
full power of two-stage object detection approaches for visual object tracking. We combine …

How to make a segmentation model efficiently adapt to a specific video as well as online
target appearance variations is a fundamental issue in the field of video object …

In this paper we illustrate how to perform both visual object tracking and semi-supervised
video object segmentation, in real-time, with a single simple approach. Our method, dubbed …

We propose a novel solution for semi-supervised video object segmentation. By the nature
of the problem, available cues (eg video frame (s) with object masks) become richer with the …

We introduce a novel network, called as CO-attention Siamese Network (COSNet), to
address the unsupervised video object segmentation task from a holistic view. We …

Abstract We present Hierarchical Memory Matching Network (HMMN) for semi-supervised
video object segmentation. Based on a recent memory-based method [33], we propose two …

In this paper we introduce a Transformer-based approach to video object segmentation
(VOS). To address compounding error and scalability issues of prior work, we propose a …