Open maygodwithu opened 4 years ago
64개의 클래스 클래스 마다 600장의 사진
5way-1shot
Test acc: [0.32 0.36 0.34 0.32 0.28 0.31 0.31 0.3 0.29 0.28 0.25] step: 30 training acc: [0.25 0.25 0.25 0. 0. 0. ] step: 60 training acc: [0.25 0.25 0.25 0.25 0.25 0.25] step: 90 training acc: [0. 0. 0. 0. 0. 0.] step: 120 training acc: [0.5 0.5 0.5 0.5 0.5 0.5] step: 150 training acc: [0.25 0.25 0. 0. 0. 0. ] step: 180 training acc: [0.25 0.5 0.5 0.5 0.5 0.5 ] step: 210 training acc: [0.5 0.5 0.5 0.5 0.75 0.75] step: 240 training acc: [0.25 0.5 0.5 0.5 0.25 0.25]
평균 0.30 정도의 정확도.
1. 실험 configure
64개의 클래스 클래스 마다 600장의 사진
2. 실험 파라미터는.. 애초에 세팅된 대로
5way-1shot
3. 결과
Test acc: [0.32 0.36 0.34 0.32 0.28 0.31 0.31 0.3 0.29 0.28 0.25] step: 30 training acc: [0.25 0.25 0.25 0. 0. 0. ] step: 60 training acc: [0.25 0.25 0.25 0.25 0.25 0.25] step: 90 training acc: [0. 0. 0. 0. 0. 0.] step: 120 training acc: [0.5 0.5 0.5 0.5 0.5 0.5] step: 150 training acc: [0.25 0.25 0. 0. 0. 0. ] step: 180 training acc: [0.25 0.5 0.5 0.5 0.5 0.5 ] step: 210 training acc: [0.5 0.5 0.5 0.5 0.75 0.75] step: 240 training acc: [0.25 0.5 0.5 0.5 0.25 0.25]
평균 0.30 정도의 정확도.