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Unsupervised Video Object Segmentation

13 papers with code · Computer Vision

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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

Learning Unsupervised Video Object Segmentation Through Visual Attention

CVPR 2019 wenguanwang/AGS

This paper conducts a systematic study on the role of visual attention in Unsupervised Video Object Segmentation (UVOS) tasks.

#5 best model for Unsupervised Video Object Segmentation on DAVIS 2016 (using extra training data)

EYE TRACKING SEMANTIC SEGMENTATION UNSUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection

ECCV 2018 shenjianbing/PDB-ConvLSTM

This paper proposes a fast video salient object detection model, based on a novel recurrent network architecture, named Pyramid Dilated Bidirectional ConvLSTM (PDB-ConvLSTM).

SEMANTIC SEGMENTATION UNSUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SALIENT OBJECT DETECTION VIDEO SEMANTIC SEGMENTATION

Anchor Diffusion for Unsupervised Video Object Segmentation

ICCV 2019 yz93/anchor-diff-VOS

Unsupervised video object segmentation has often been tackled by methods based on recurrent neural networks and optical flow.

#2 best model for Unsupervised Video Object Segmentation on DAVIS 2016 (using extra training data)

OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION UNSUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

Motion-Attentive Transition for Zero-Shot Video Object Segmentation

9 Mar 2020tfzhou/MATNet

In this paper, we present a novel Motion-Attentive Transition Network (MATNet) for zero-shot video object segmentation, which provides a new way of leveraging motion information to reinforce spatio-temporal object representation.

 SOTA for Unsupervised Video Object Segmentation on DAVIS 2016 (using extra training data)

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Semi-Supervised Video Salient Object Detection Using Pseudo-Labels

ICCV 2019 Kinpzz/RCRNet-Pytorch

Specifically, we present an effective video saliency detector that consists of a spatial refinement network and a spatiotemporal module.

UNSUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SALIENT OBJECT DETECTION

Tukey-Inspired Video Object Segmentation

19 Nov 2018griffbr/TIS

We investigate the problem of strictly unsupervised video object segmentation, i. e., the separation of a primary object from background in video without a user-provided object mask or any training on an annotated dataset.

SEMANTIC SEGMENTATION UNSUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION