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Object Detection on Endoscapes

36.8mAPDExTeR
15.37620.93826.532.062Jan 20, 2026

Evaluation results

MethodLinks
DExTeRPercentage of training data used=50.0%2026.0136.862.9—
CLICK-DETRPercentage of training data used=50.0%2026.0133.957.4—
Group-RCNNPercentage of training data used=50.0%2026.0133.761.6—
Def. Point-DETRPercentage of training data used=50.0%2026.0131.454.3—
DExTeRPercentage of training data used=12.5%2026.0131.452.8—
CLICK-DETRPercentage of training data used=12.5%2026.0127.847.8—
Group-RCNNPercentage of training data used=12.5%2026.0127.150.7—
Def. Point-DETRPercentage of training data used=12.5%2026.012443.6—
PBCPercentage of training data used=50.0%2026.0123.549.2—
Point-DETRPercentage of training data used=50.0%2026.0123.448.9—
PBCPercentage of training data used=12.5%2026.0117.735.4—
Point-DETRPercentage of training data used=12.5%2026.0116.236—
Gemini 3.1 Pro2026.03——61
GPT-5.12026.03——0
Qwen3-VLParameters=8B2026.03——0
SureonVLM2026.03——22