AdvSpot - Localization IoU: leaderboard

AdvSpot (inclusionAI, from the ArmorOCR paper) tests grounded OCR on adversarial text: rotated, mirrored, tiny, stylized, handwritten, degraded, low-contrast, pattern-overlaid, dot/line/symbol-encoded and AI-generated fusion text, 390 images with 397 region-grounded question-answer pairs. This board reports average intersection-over-union between the predicted and ground-truth box for the target text region. ArmorOCR is the authors' own Qwen3-VL-8B model trained for adversarial OCR.

Metric: Average Localization IoU (%). Source: arxiv.org. 23 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash63#105
2Qwen 3 VL 32B Instruct51.9#292
3GLM-4.6V51#331
4Qwen 3 VL 30B A3B Instruct50.6#391
5Qwen 3 VL 8B Instruct49.1#420
6GLM-4.5V48.8#357
7Qwen 3 VL 235B A22B Instruct47.5#282
8Qwen 3.5 397B A17B47#155
9Kimi K2.541.6#154
10Kimi K2.641.1#115
11Gemini 3.5 Flash40.5#68
12Qwen 3.5 122B A10B38.5#186
13Gemini 2.5 Pro36.2#161
14GPT-535#108
15GPT-5.434.5#85

Interactive version: theaggregate.ai/benchmark?slug=advspot-localization-iou · How It Works · Data refreshed daily, snapshot 2026-11-07.