Based on the MVSEC dataset, we select some image-event pairs to evaluate the segmentation performance, namely MVSEC-SEG, which only serves as a test set. The MVSEC-SEG consists of 500 image-event pairs each in ”indoor flying1” and ”outdoor day2” sequences, containing 54,600 masks.
Variants: MVSEC-SEG
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Event-based Object Segmentation | EventSAM | Segment Any Events via Weighted … | 2023-12-24 |
| Event-based Object Segmentation | SAM | Segment Anything | 2023-04-05 |
| Event-based Object Segmentation | ESS | ESS: Learning Event-based Semantic Segmentation … | 2022-03-18 |
| Event-based Object Segmentation | Evdistill | EvDistill: Asynchronous Events to End-task … | 2021-11-24 |
| Event-based Object Segmentation | DTL | Dual Transfer Learning for Event-based … | 2021-09-04 |
| Event-based Object Segmentation | NGA | Learning to Exploit Multiple Vision … | 2020-03-24 |
| Event-based Object Segmentation | E2VID | High Speed and High Dynamic … | 2019-06-15 |
Recent papers with results on this dataset: