Interactive Video Object Segmentation

7 papers with code • 1 benchmarks • 3 datasets

The interactive scenario assumes the user gives iterative refinement inputs to the algorithm, in our case in the form of a scribble, to segment the objects of interest. Methods have to produce a segmentation mask for that object in all the frames of a video sequence taking into account all the user interactions.

Libraries

Use these libraries to find Interactive Video Object Segmentation models and implementations

Most implemented papers

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.

Video Object Segmentation using Space-Time Memory Networks

seoungwugoh/STM ICCV 2019

In our framework, the past frames with object masks form an external memory, and the current frame as the query is segmented using the mask information in the memory.

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.

Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks

seoungwugoh/ivs-demo CVPR 2019

We propose a new multi-round training scheme for the interactive video object segmentation so that the networks can learn how to understand the user's intention and update incorrect estimations during the training.

Fast Interactive Video Object Segmentation with Graph Neural Networks

vvarga90/gnn_annot 5 Mar 2021

Interactive video object segmentation aims to utilize automatic methods to speed up the process and reduce the workload of the annotators.

Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild

svip-lab/IVOS-W CVPR 2021

This paper proposes a framework for the interactive video object segmentation (VOS) in the wild where users can choose some frames for annotations iteratively.

Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps

yuk6heo/GIS-RAmap CVPR 2021

We propose a novel guided interactive segmentation (GIS) algorithm for video objects to improve the segmentation accuracy and reduce the interaction time.