HyperAI

Visual Place Recognition On Pittsburgh 30K

المقاييس

Recall@1
Recall@5

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة
اسم النموذجRecall@1Recall@5
towards-seamless-adaptation-of-pre-trained92.897.7
patch-netvlad-multi-scale-fusion-of-locally88.794.5
generalized-contrastive-optimization-of81.9494.56
progeo-generating-prompts-through-image-text93.098.3
emerging-properties-in-self-supervised-vision70.13-
rethinking-visual-geo-localization-for-large90.45-
rethinking-visual-geo-localization-for-large90.495.7
revisit-anything-visual-place-recognition-via93.1-
pair-vpr-place-aware-pre-training-and95.497.5
eigenplaces-training-viewpoint-robust-models92.5-
dinov2-learning-robust-visual-features78.32-
mixvpr-feature-mixing-for-visual-place91.5295.9
boq-a-place-is-worth-a-bag-of-learnable93.797.1
pair-vpr-place-aware-pre-training-and94.797.2
effovpr-effective-foundation-model93.997.4
netvlad-cnn-architecture-for-weakly86.08-
anyloc-towards-universal-visual-place87.66-
anyloc-towards-universal-visual-place54.97-
boq-a-place-is-worth-a-bag-of-learnable92.4-