sakshamgupta006 / awesome_video_object_segmentation

Collection of state of the art Video Object Segmentation Algorithms

Awesome Video Object Segmentation

This repository is a collection of most of the state of art research and their implimentation in tensorflow. We plan to create a Plug-n-Play module that can be efiiciently used to benchmark different VOS approaches on different datasets.

Approaches to be integrated

• Efficient Hierarchical Graph-Based Video Segmentation
• Key-Segments for Video Object Segmentation
• MaskTrack: Learning Video Object Segmentation from Static Images
• Video Object Segmentation with Re-identification
• OSVOS: One-Shot Video Object Segmentation
• Deep Extreme Cut (DEXTR)
• OSMN: One-Shot Modulation Network for Semi-supervised Video Segmentation
• MaskRNN: Instance Level Video Object Segmentation

Datasets

1. DAVIS-2017 (can be downloaded here)
2. Youtube-VOS (can be downloaded here)

Running Instructions

python -approch <ApprochName> -dataset <DatasetName> --test --visualizations

Suggestions

Please feel free to advise us on which other approaches and dataset you would like to add