Datasets › KITTI-STEP
KITTI-STEP
The Segmenting and Tracking Every Pixel (STEP) benchmark consists of 21 training sequences and 29 test sequences. It is based on the KITTI Tracking Evaluation and the Multi-Object Tracking and Segmentation (MOTS) benchmark. This benchmark extends the annotations to the Segmenting and Tracking Every Pixel (STEP) task. [Copy-pasted from http://www.cvlibs.net/datasets/kitti/eval_step.php]
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Video Panoptic Segmentation | KITTI-STEP | Video K-Net (Swin-L) AQ 73.0 | Video K-Net: A Simple, Strong, and Unified Baseline for... | lxtgh/video-k-net | 6 | Compare |
| Unsupervised Semantic Segmentation with Language-image Pre-training | KITTI-STEP | ReCo+ mIoU 31.9 | ReCo: Retrieve and Co-segment for Zero-shot Transfer | NoelShin/reco +1 | 3 | Compare |
Papers archive 2025-07-28
6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 24. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation | 1 | 1 | 22 Mar 2023 | not harvested |
| Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs | 0 | 1 | 3 Mar 2023 | not harvested |
| TarViS: A Unified Approach for Target-based Video Segmentation | 1 | 3 | 6 Jan 2023 | ran 0 of 6 samples (6 unverified) |
| ReCo: Retrieve and Co-segment for Zero-shot Transfer | 2 | 2 | 14 Jun 2022 | not harvested |
| Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation | 1 | 1 | 10 Apr 2022 | not harvested |
| Extract Free Dense Labels from CLIP | 1 | 1 | 2 Dec 2021 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- KITTI-STEP
1 variant name, as the archive lists them.
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