SwiftNetRN-18

Reported on 4 benchmarks across 2 tasks

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

Medical2 results

Semantic SegmentationonCityscapes test
Frame (fps)
39.9
best: 188.6 (STDC2-50)
Semantic SegmentationonCityscapes val
Frame (fps)
39.9
best: 163.9 (FasterSeg)

Audio2 results

10-shot image generationonCityscapes test
Frame (fps)
39.9
best: 188.6 (STDC2-50)
10-shot image generationonCityscapes val
Frame (fps)
39.9
best: 163.9 (FasterSeg)