SIGNPOST-Bench - Adversarial-Text Localization: leaderboard

Geolocation of images whose scene text was replaced by a conflicting geographic cue naming another place (Adversarial 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)44.41#64
2Gemini 3 Flash43.8#103
3Gemini 2.5 Pro40.18#159
4Doubao-Seed-2.0-Pro-26021538.95#86
5GPT-536.95#105
6Gemini 2.5 Flash36.9#255
7Kimi K2.535.29#152
8Claude Sonnet 4.634.66#94
9Claude Opus 4.634.47#67
10Qwen 3 VL 30B A3B Instruct29.03#390
11GPT-4o28.07#357
12GPT-5.425.9#83
13Qwen 3 VL 235B A22B Instruct25.49#280
14GPT-4o Mini20.35#598
15Grok 417.89#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-adversarial-text-localization · How It Works · Data refreshed daily, snapshot 2026-11-05.