DAVIS 2016
Introduced by Perazzi et al. in A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
DAVIS16 is a dataset for video object segmentation which consists of 50 videos in total (30 videos for training and 20 for testing). Per-frame pixel-wise annotations are offered.
Source: Learning Discriminative Feature with CRF for Unsupervised Video Object SegmentationBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
DAVIS 2016
|
ISVOS
|
|||
|
DAVIS 2016 val
|
GSANet
|
|||
|
DAVIS 2016
|
ISVOS
|
|||
|
DAVIS 2016
|
RCF
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
