Average Recall@IoU:0.5-0.95: 28.0
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Instance Segmentation
Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.
Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21
논문
mask AP: 54.2
Average Precision: 40.00
Average Precision: 37.18
mask AP: 41.23
mAP@0.5:0.95:0.05: 65.8
Average Recall@IoU:0.5-0.95: 9.4
mAP: 28.87
mask AP: 56.6AP50: 79.7AP75: 62.8APL: 74.6
mAP@0.5:0.95:0.05: 44.06
mask AP: 55.0AP50: 79.4AP75: 60.9APL: 72.0
mask AP: 53.1
Dice Coef: 86.15
mask AP: 55.4AP50: 80.1AP75: 61.5APL: 74.4
mask AP: 54.5
mask AP: 54.9AP50: 78.9AP75: 60.8APL: 72.9
AP50: 90.7AP75: 82.8
Average Precision: 34.17
mAP50: 57.5
APL: 56
mask AP: 53.7
MOTA: 68.2
mask AP: 54.2
mask AP: 55.9