Datasets › PASCAL-5i
PASCAL-5i
PASCAL-5i is a dataset used to evaluate few-shot segmentation. The dataset is sub-divided into 4 folds each containing 5 classes. A fold contains labelled samples from 5 classes that are used for evaluating the few-shot learning method. The rest 15 classes are used for training.
Source: AMP: Adaptive Masked Proxies for Few-Shot Segmentation Image Source: https://arxiv.org/pdf/1709.03410.pdf
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 | ||||
|---|---|---|---|---|---|---|
| Few-Shot Semantic Segmentation | Pascal5i | A-MCG-Conv-LSTM meanIOU 62.2 | Attention-Based Multi-Context Guiding for Few-Shot... | — | 3 | Compare |
Papers archive 2025-07-28
3 shown of 3 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 177. 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 | |||
|---|---|---|---|---|
| Part-aware Prototype Network for Few-shot Semantic Segmentation | 2 | 1 | 13 Jul 2020 | not harvested |
| On the Texture Bias for Few-Shot CNN Segmentation | 1 | 1 | 9 Mar 2020 | not harvested |
| Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation | 0 | 1 | 1 Jul 2019 | not harvested |
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
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Pascal5i
- PASCAL-5i
2 variant names, as the archive lists them.
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