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Semi-supervised Video Object Segmentation

18 papers with code · Computer Vision

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

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Greatest papers with code

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 VISUAL OBJECT TRACKING

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

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

PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation

24 Jul 2018JonathonLuiten/PReMVOS

We address semi-supervised video object segmentation, the task of automatically generating accurate and consistent pixel masks for objects in a video sequence, given the first-frame ground truth annotations.

SEMANTIC SEGMENTATION SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

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.

SEMANTIC SEGMENTATION SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

MAST: A Memory-Augmented Self-supervised Tracker

18 Feb 2020zlai0/MAST

Recent interest in self-supervised dense tracking has yielded rapid progress, but performance still remains far from supervised methods.

SEMANTIC SEGMENTATION SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION