HyperAI

Crowd Counting On Ucf Cc 50

المقاييس

MAE

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة
اسم النموذجMAE
locate-size-and-count-accurately-resolving225.6
iterative-crowd-counting260.9
multi-source-multi-scale-counting-in419.5
encoder-decoder-based-convolutional-neural162.33
leveraging-unlabeled-data-for-crowd-counting337.6
segmentation-guided-attention-network-for224.6
crowd-counting-via-adversarial-cross-scale291.0
segmentation-guided-attention-network-for221.9
csrnet-dilated-convolutional-neural-networks266.1
learning-spatial-awareness-to-improve-crowd232.6
generating-high-quality-crowd-density-maps295.8
cross-scene-crowd-counting-via-deep467.0
cnn-based-cascaded-multi-task-learning-of322.8
switching-convolutional-neural-network-for318.1
improving-point-based-crowd-counting-and154.8
single-image-crowd-counting-via-multi-column-1377.6
context-aware-crowd-counting212.2
rethinking-spatial-invariance-of-1186.3
scale-aggregation-network-for-accurate-and258.4
divide-and-grow-capturing-huge-diversity-in291.4
distribution-matching-for-crowd-counting211.0
crowd-counting-with-deep-negative-correlation288.4