ReCoG CUB-Hard - Baseline Positive Accuracy: leaderboard
ReCoG CUB-Hard - Baseline Positive Accuracy. The ReCoG paper evaluates frozen MiniCPM-o-2.6 on CUB-Hard, a subset of 20 bird species. Retrieval uses CLIP ViT-L and one reference image per concept, without negative database examples. Baseline and ReCoG contexts are separate conditions. Positive-query accuracy, negative-query accuracy, and the source weighted average are separate metrics; baseline and ReCoG negative queries are evaluated from their top-1 retrieval results. The LLaVA-1.5 comparison is held because the paper does not identify its exact size or checkpoint. Reported metric: Accuracy (%).
Metric: Accuracy (%). Source: arxiv.org. 1 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | MiniCPM-o-2.6 | 41.8 |
Interactive version: theaggregate.ai/benchmark?slug=recog-cub-hard-baseline-positive-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-25.