52 datasets found

The YouTube-VOS 2018 dataset for video object segmentation.

The DAVIS 2016 and DAVIS 2017 datasets for video object segmentation.

The DAVIS-2017 dataset is a benchmark for video object segmentation

A benchmark dataset and evaluation methodology for video object segmentation.

Video object segmentation has been applied to various computer vision tasks, such as video editing, autonomous driving, and human-robot interaction.

The paper introduces an online method, named SAM-PD, that applies SAM to track and segment objects throughout the video.

A large-scale benchmark called LiveVideos for the video object of interest segmentation task.

A new computer vision task named video object of interest segmentation (VOIS). Given a video and a target image of interest, the objective is to simultaneously segment and track...

The SegTrack v2 dataset is a benchmark for video object segmentation.

The YouTube-VOS dataset is a benchmark for video object segmentation.

The DAVIS dataset is a benchmark for video object segmentation.

The DAVIS dataset comprises 60, 30 and 30 video sequences for training, validation and testing, respectively. The YouTube-VOS dataset is a larger dataset with 3471 videos for...

Ref-Youtube-VOS is an extensive referring video object segmentation dataset that comprises approximately 15,000 referring expressions associated with more than 3,900 videos.

Video object segmentation is a fundamental task in many important areas such as autonomous driving, robotic manipulation, video surveillance, and video editing.

Video segmentation by tracking many figure-ground segments.

The FBMS dataset contains 29 training videos and 30 test videos.

A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation.

The DAVIS dataset is a widely used dataset for video-related tasks, consisting of approximately 2000 frames from 26 human-centric scenarios.

Unsupervised video object segmentation has made significant progress in recent years, but the manual annotation of video mask datasets is expensive and limits the diversity of...

Video object segmentation is a crucial task in computer vision that involves segmenting primary objects in a video sequence.