Leotju / MGAN

Mask-Guided Attention Network for Occluded Pedestrian Detection. (ICCV'19)
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Why is the map 0 #23

Open hiahiapiupiu opened 1 year ago

hiahiapiupiu commented 1 year ago

Hello author, your work is exciting, but when I tried to reproduce this code, the final map result was close to 0: Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.001 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = -1.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.001 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.030 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.030 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.030 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.001 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.042 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.143 Could you please provide some training configurations

hiahiapiupiu commented 1 year ago

@Leotju