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5 months ago

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

Hao Chen Kunyang Sun Zhi Tian Chunhua Shen Yongming Huang Youliang Yan

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

Abstract

Code Repositories

aim-uofa/adet
pytorch
Mentioned in GitHub
zhubinQAQ/Ins
pytorch
Mentioned in GitHub
nerminsamet/houghnet
pytorch
Mentioned in GitHub
blueardour/AdelaiDet
pytorch
Mentioned in GitHub
TengFeiHan0/Instance-Wise-Depth
pytorch
Mentioned in GitHub
Pxtri2156/AdelaiDet_v2
pytorch
Mentioned in GitHub
aim-uofa/AdelaiDet
pytorch
Mentioned in GitHub
quangvy2703/ABCNet-ESRGAN-SRTEXT
pytorch
Mentioned in GitHub

Benchmarks

BenchmarkMethodologyMetrics
instance-segmentation-on-cocoBlendMask (ResNet-101 + DCN interval=3)
AP50: 63.1
AP75: 44.6
APL: 54.5
APM: 44.1
APS: 22.7
mask AP: 41.3
real-time-instance-segmentation-on-mscocoBlendMask-512 (DLA_34)
Frame (fps): 33.3
mask AP: 35.2

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BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation | Papers | HyperAI