Year | Publication | Paper Title | Project |
---|---|---|---|
2016 | CVPR | Feature space optimization for semantic video segmentation | -- |
2016 | ECCV | Joint optical flow and temporally consistent semantic segmentation | -- |
2017 | ICCV | Video scene parsing with predictive feature learning | -- |
2017 | ICCV | Semantic video cnns through representation warping | Code, Project |
2018 | CVPR | Semantic video segmentation by gated recurrent flow propagation | Code |
2018 | CVPR | Deep spatio-temporal random fields for efficient video segmentation | Code |
2018 | ECCV | Efficient uncertainty estimation for semantic segmentation in videos | Code |
2020 | AAAI | Every frame counts: joint learning of video segmentation and optical flow | -- |
Year | Publication | Paper Title | Project |
---|---|---|---|
2016 | ECCV | Clockwork convnets for video semantic segmentation | -- |
2017 | CVPR | Deep feature flow for video recognition | Code |
2017 | CVPR | Budget-aware deep semantic video segmentation | -- |
2018 | CVPR | Dynamic video segmentation network | Code |
2018 | CVPR | Low-latency video semantic segmentation | -- |
2019 | CVPR | Accel: A corrective fusion network for efficient semantic segmentation on video | -- |
2020 | CVPR | Temporally distributed networks for fast video semantic segmentation | Code |
2020 | ECCV | Efficient semantic video segmentation with per-frame inference | Code |
Year | Publication | Paper Title | Project |
---|---|---|---|
2017 | ICCV | Bringing background into the foreground: Making all classes equal in weakly-supervised video semantic segmentation | -- |
2019 | CVPR | Improving semantic segmentation via video propagation and label relaxation | Code, Project |
2020 | ECCV | Naive-student: Leveraging semi-supervised learning in video sequences for urban scene segmentation | -- |
Year | Publication | Paper Title | Project |
---|---|---|---|
2020 | CVPR | Video panoptic segmentation | -- |
2021 | CVPR | Learning to associate every segment for video panoptic segmentation | -- |
2021 | CVPR | Vipdeeplab: Learning visual perception with depth-aware video panoptic segmentation | Code |
2022 | CVPR | Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation | Code |