Video Object Segmentation

240 papers with code • 9 benchmarks • 17 datasets

Video object segmentation is a binary labeling problem aiming to separate foreground object(s) from the background region of a video.

For leaderboards please refer to the different subtasks.


Use these libraries to find Video Object Segmentation models and implementations

Most implemented papers

Emerging Properties in Self-Supervised Vision Transformers

facebookresearch/dino ICCV 2021

In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets).

One-Shot Video Object Segmentation

kmaninis/OSVOS-PyTorch CVPR 2017

This paper tackles the task of semi-supervised video object segmentation, i. e., the separation of an object from the background in a video, given the mask of the first frame.

PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation

JonathonLuiten/PReMVOS 24 Jul 2018

We address semi-supervised video object segmentation, the task of automatically generating accurate and consistent pixel masks for objects in a video sequence, given the first-frame ground truth annotations.

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

hkchengrex/MiVOS CVPR 2021

We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-mask and mask propagation, allowing for higher generalizability and better performance.

Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective

xvjiarui/VFS ICCV 2021

To learn generalizable representation for correspondence in large-scale, a variety of self-supervised pretext tasks are proposed to explicitly perform object-level or patch-level similarity learning.

Lucid Data Dreaming for Video Object Segmentation

omkar13/MaskTrack 28 Mar 2017

Our approach is suitable for both single and multiple object segmentation.

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

BehradToghi/ECCV_Youtube_VOS ECCV 2018

End-to-end sequential learning to explore spatial-temporal features for video segmentation is largely limited by the scale of available video segmentation datasets, i. e., even the largest video segmentation dataset only contains 90 short video clips.

Interactive Video Object Segmentation Using Global and Local Transfer Modules

yuk6heo/IVOS-ATNet ECCV 2020

The global transfer module conveys the segmentation information in an annotated frame to a target frame, while the local transfer module propagates the segmentation information in a temporally adjacent frame to the target frame.

Make One-Shot Video Object Segmentation Efficient Again

dvl-tum/e-osvos NeurIPS 2020

In the semi-supervised setting, the first mask of each object is provided at test time.

Video Polyp Segmentation: A Deep Learning Perspective

DengPingFan/PraNet 27 Mar 2022

We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era.