SIGNPOST-Bench - Random-Text Localization: leaderboard

Geolocation of images whose scene text was replaced by an unrelated text (Random variant) in SIGNPOST-Bench (arXiv 2608.04244v1, Table 1). Weighted localization accuracy scores each prediction as exp(-0.005 x geodesic error in km), macro-averaged over IM2GPS3K, YFCC4K, GoogleSV and BaiduSV, in percent; higher is better.

Metric: Weighted localization accuracy (%; exp(-0.005 x geodesic km), four-dataset macro average). Source: arxiv.org. Saturation forecast: Around May 2028. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)45.41#64
2Gemini 3 Flash45.21#103
3Doubao-Seed-2.0-Pro-26021542.69#86
4Gemini 2.5 Pro41.6#159
5GPT-537.56#105
6Gemini 2.5 Flash36.65#255
7Claude Opus 4.635.2#67
8Claude Sonnet 4.634.81#94
9Kimi K2.534.59#152
10Qwen 3 VL 30B A3B Instruct29.57#390
11GPT-4o27.85#357
12Qwen 3 VL 235B A22B Instruct26.61#280
13GPT-5.425.32#83
14GPT-4o Mini23.57#598
15Grok 417.58#189

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=signpost-bench-random-text-localization · How It Works · Data refreshed daily, snapshot 2026-11-05.