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Video Object Segmentation

49 papers with code · Computer Vision

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

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

CVPR 2019 tensorflow/models

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 VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

Fast Online Object Tracking and Segmentation: A Unifying Approach

CVPR 2019 foolwood/SiamMask

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 SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION VISUAL OBJECT TRACKING

Deep Extreme Cut: From Extreme Points to Object Segmentation

CVPR 2018 scaelles/DEXTR-PyTorch

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 SEMANTIC SEGMENTATION VIDEO OBJECT SEGMENTATION

One-Shot Video Object Segmentation

CVPR 2017 kmaninis/OSVOS-PyTorch

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 VISUAL OBJECT TRACKING

Video Object Segmentation with Re-identification

1 Aug 2017lxx1991/VS-ReID

Specifically, our Video Object Segmentation with Re-identification (VS-ReID) model includes a mask propagation module and a ReID module.

SEMANTIC SEGMENTATION VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

State-Aware Tracker for Real-Time Video Object Segmentation

1 Mar 2020MegviiDetection/video_analyst

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 VIDEO SEMANTIC SEGMENTATION

RVOS: End-to-End Recurrent Network for Video Object Segmentation

CVPR 2019 imatge-upc/rvos

Multiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the sequence.

SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION UNSUPERVISED VIDEO OBJECT SEGMENTATION