HyperAI

Cross Modal Retrieval With Noisy 1

المقاييس

Image-to-text R@1
Image-to-text R@10
Image-to-text R@5
R-Sum
Text-to-image R@1
Text-to-image R@10
Text-to-image R@5

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة
اسم النموذجImage-to-text R@1Image-to-text R@10Image-to-text R@5R-SumText-to-image R@1Text-to-image R@10Text-to-image R@5
repair-rank-correlation-and-noisy-pair-half40.576.167.7369.240.376.468.2
bicro-noisy-correspondence-rectification-for40.876.167.2370.242.176.467.6
deep-evidential-learning-with-noisy39.075.566.1364.340.776.766.3
ugncl-uncertainty-guided-noisy-correspondence43.674.967.1373.142.776.468.4
nac-mitigating-noisy-correspondence-in-cross41.877.368.6373.540.577.068.3
noisy-correspondence-learning-with-meta40.176.665.7366.740.676.367.4
cross-modal-retrieval-with-partially41.773.666.0364.441.675.166.4
recon-enhancing-true-correspondence-143.178.168.7380.544.977.468.3
learning-to-rematch-mismatched-pairs-for43.075.767.5374.242.877.268.0
cross-modal-active-complementary-learning-141.876.567.4373.741.678.468.0
learning-with-noisy-correspondence-for-cross39.573.564.5355.640.373.264.6
noisy-correspondence-learning-with-self40.977.167.5372.241.577.068.2
mitigating-noisy-correspondence-by42.177.768.4375.142.277.167.6
cross-modal-retrieval-with-noisy40.377.168.5372.640.278.368.2
learning-with-noisy-correspondence39.573.164.0355.540.673.564.8