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Bongard-HOI

Introduced by Huaizu Jiang et al. in Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions27 May 2022 archive 2025-07-28

Bongard-HOI testifies to which extent your few-shot visual learner can quickly induce the true HOI concept from a handful of images and perform reasoning with it. Further, the learner is also expected to transfer the learned few-shot skills to novel HOI concepts compositionally.

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)PaperCode
Few-Shot Image Classification Bongard-HOI Human (Amateur) Avg. Accuracy 91.42 Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for... nvlabs/bongard-hoi 9 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 12. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

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

CC-BY-4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Bongard-HOI

1 variant name, as the archive lists them.

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