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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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Greatest papers with code

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 SEMI-SUPERVISED 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

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

6 Jan 2021visionml/pytracking

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

SEMANTIC SEGMENTATION VIDEO OBJECT SEGMENTATION VIDEO SEGMENTATION VIDEO SEMANTIC SEGMENTATION

Learning What to Learn for Video Object Segmentation

ECCV 2020 visionml/pytracking

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 SEMANTIC SEGMENTATION VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION YOUTUBE-VOS

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 VIDEO 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 SEGMENTATION VIDEO SEMANTIC SEGMENTATION