Datasets › ClevrTex
ClevrTex
ClevrTex is a new benchmark designed as the next challenge to compare, evaluate and analyze algorithms for unsupervised multi-object segmentation. ClevrTex features synthetic scenes with diverse shapes, textures and photo-mapped materials, created using physically based rendering techniques.
Image source: Karazija et al.
Benchmarks archive 2025-07-28
All 1 leaderboard 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 | ||||
|---|---|---|---|---|---|---|
| Unsupervised Object Segmentation | ClevrTex | AST-Seg-B3-CT mIoU 79.58±0.54 | Unsupervised Multi-object Segmentation Using Attention... | BrunoSauvalle/AST | 12 | Compare |
Papers archive 2025-07-28
2 shown of 2 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 33. 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 | |||
|---|---|---|---|---|
| Unsupervised Multi-object Segmentation Using Attention and Soft-argmax | 1 | 2 | 26 May 2022 | not harvested |
| ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation | 1 | 10 | 19 Nov 2021 | ran 1 of 8 samples (7 unverified) |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- ClevrTex
1 variant name, as the archive lists them.
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