Video Object Segmentation

103 papers with code • 5 benchmarks • 6 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.

Greatest papers with code

FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

tensorflow/models CVPR 2019

Many of the recent successful methods for video object segmentation (VOS) are overly complicated, heavily rely on fine-tuning on the first frame, and/or are slow, and are hence of limited practical use.

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

Fast Online Object Tracking and Segmentation: A Unifying Approach

foolwood/SiamMask CVPR 2019

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.

Real-Time Visual Tracking Semi-Supervised Semantic Segmentation +2

Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos

visionml/pytracking 6 Jan 2021

This effectively limits the performance and generalization capabilities of existing video segmentation methods.

Semantic Segmentation Video Object Segmentation +2

Learning What to Learn for Video Object Segmentation

visionml/pytracking ECCV 2020

This allows us to achieve a rich internal representation of the target in the current frame, significantly increasing the segmentation accuracy of our approach.

Few-Shot Learning One-shot visual object segmentation +3

Deep Extreme Cut: From Extreme Points to Object Segmentation

scaelles/DEXTR-PyTorch CVPR 2018

This paper explores the use of extreme points in an object (left-most, right-most, top, bottom pixels) as input to obtain precise object segmentation for images and videos.

Instance Segmentation Interactive Segmentation +2

State-Aware Tracker for Real-Time Video Object Segmentation

MegviiDetection/video_analyst CVPR 2020

For higher efficiency, SAT takes advantage of the inter-frame consistency and deals with each target object as a tracklet.

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

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.

Semi-Supervised Video Object Segmentation Video Segmentation +1

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

carrierlxk/COSNet CVPR 2019

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

Semantic Segmentation Unsupervised Video Object Segmentation +1