YOLACT ResNet50

Reported on 6 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Instance SegmentationonPASCAL VOC 2012
FLOPs (G)· 2023-08-15
48.26
best: 100.85 (RAMEM UPANet80 V2)
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels arXiv:2308.07717
Instance SegmentationonPASCAL VOC 2012
Frame (fps)· 2023-08-15
81.11
best: 81.27 (maYOLACT ResNet50)
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels arXiv:2308.07717
Instance SegmentationonPASCAL VOC 2012
Size (M)· 2023-08-15
30.41
best: 40.32 (RAMEM UPANet80 V2)
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels arXiv:2308.07717
Instance SegmentationonPASCAL VOC 2012
avgAP (mask AP + box AP)· 2023-08-15
35.73
best: 42.69 (RAMEM UPANet80 V2)
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels arXiv:2308.07717
Instance SegmentationonPASCAL VOC 2012
boxAP· 2023-08-15
36.65
best: 42.96 (RAMEM UPANet80 V2)
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels arXiv:2308.07717
Instance SegmentationonPASCAL VOC 2012
maskAP· 2023-08-15
35.12
best: 42.42 (RAMEM UPANet80 V2)
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels arXiv:2308.07717