SIGNPOST-Bench - Similar-Text Localization: leaderboard

Geolocation of images whose scene text was replaced by a compatible text consistent with the true location (Similar 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 December 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)57.15#64
2Gemini 3 Flash56.62#103
3Doubao-Seed-2.0-Pro-26021554.69#86
4Gemini 2.5 Pro53.93#159
5GPT-552.55#105
6Kimi K2.551.61#152
7Gemini 2.5 Flash50.15#255
8Claude Sonnet 4.648.88#94
9Claude Opus 4.647.66#67
10GPT-4o43.2#357
11Qwen 3 VL 235B A22B Instruct41.11#280
12GPT-5.439.47#83
13Qwen 3 VL 30B A3B Instruct38.52#390
14Grok 437.24#189
15GPT-4o Mini35.12#598

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-similar-text-localization · How It Works · Data refreshed daily, snapshot 2026-11-05.