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The semi-supervised scenario assumes the user inputs a full mask of the object(s) of interest in the first frame of a video sequence. Methods have to produce the segmentation mask for that object(s) in the subsequent frames.

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Datasets

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

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 using Space-Time Memory Networks

ICCV 2019 seoungwugoh/STM

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.

INTERACTIVE VIDEO OBJECT SEGMENTATION SEMANTIC SEGMENTATION VIDEO SEMANTIC SEGMENTATION YOUTUBE-VOS

Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration

13 Oct 2020z-x-yang/CFBI

This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation.

SEMANTIC SEGMENTATION VIDEO SEMANTIC SEGMENTATION YOUTUBE-VOS

Collaborative Video Object Segmentation by Foreground-Background Integration

ECCV 2020 z-x-yang/CFBI

This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation.

SEMANTIC SEGMENTATION VIDEO SEMANTIC SEGMENTATION YOUTUBE-VOS

RANet: Ranking Attention Network for Fast Video Object Segmentation

ICCV 2019 Storife/RANet

Specifically, to integrate the insights of matching based and propagation based methods, we employ an encoder-decoder framework to learn pixel-level similarity and segmentation in an end-to-end manner.

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.

UNSUPERVISED VIDEO OBJECT SEGMENTATION YOUTUBE-VOS