| Year | Venue | Type | Paper titles with links (abbreviates in our review) | Code |
|---|---|---|---|---|
| 2017 | CVPR | S | One-Shot Video Object Segmentation (OSVOS) | PyTorch |
| 2017 | BMVC | S | Online Adaptation of Convolutional Neural Networks for Video Object Segmentation (OnAVOS) | Tenserflow |
| 2018 | TPAMI | S | Video Object Segmentation without Temporal Information (OSVOS-S) | Website |
| 2018 | ECCV | S | Video Object Segmentation by Learning Location-Sensitive Embeddings (LSE-VOS) | |
| 2019 | IJCV | S | Lucid Data Dreaming for Video Object Segmentation | MATLAB |
| 2019 | CVPR | S | BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames | Tensorflow |
| Year | Venue | Type | Paper titles with links (abbreviates in our review) | Code |
|---|---|---|---|---|
| 2018 | CVPR | S | Efficient Video Object Segmentation via Network Modulation (OSMN) | Tensorflow |
| 2019 | CVPR | S | A Generative Appearance Model for End-to-end Video Object Segmentation (AGAME) | PyTorch |
| 2020 | CVPR | S | Learning Fast and Robust Target Models for Video Object Segmentation (FRTM) | PyTorch |
| 2020 | ECCV | S | Learning What to Learn for Video Object Segmentation (LWL) | PyTorch |
| 2021 | CVPR | U | Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation (TAODA) |