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Partial Multi-Label Learning on birds (Average Precision)

63.4Average Precision

PML-MA

Updated 6d ago

Evaluation Results

Method	Links
PML-MA 2026.04		63.4
PML-PLR 2026.04		63
WSC-PML 2026.04		62.9
PML-ND 2026.04		62.8
P-LENFN 2026.04		62.7
PML-LENFN 2026.04		62.7
NLR 2026.04		62.6
FBD-PML 2026.04		62.5
FBD-PML 2026.04		62
PML-NI 2026.04		61.7
PML-NI 2026.04		61.7
PML-MA 2026.04		59.9
PML-MA 2026.04		59.7
WSC-PML 2026.04		59.7
WSC-PML 2026.04		59.2
PML-PLR 2026.04		59
PML-ND 2026.04		59
PAMB 2026.04		58.9
PAMB 2026.04		58.9
PML-PLR 2026.04		58.5
PML-ND 2026.04		58.5
P-LENFN 2026.04		58.1
PML-LENFN 2026.04		58.1
FBD-PML 2026.04		58
FBD-PML 2026.04		57.6
FBD-PML 2026.04		57.5
NLR 2026.04		57.5
PML-NI 2026.04		57.2
PML-NI 2026.04		57.2
P-LENFN 2026.04		57
PML-LENFN 2026.04		57
FBD-PML 2026.04		56.8
PAMB 2026.04		56.4
PML-NI 2026.04		56.4
PAMB 2026.04		56.4
PML-NI 2026.04		56.4
NLR 2026.04		55.8
PAMB 2026.04		49.5
PAMB 2026.04		49.5
PML-fp 2026.04		45.7
PML-fp 2026.04		45.7
PML-fp 2026.04		42.4
PML-fp 2026.04		42.4
PARTICLE 2026.04		41.9
PML-fp 2026.04		41.8
PML-fp 2026.04		41.8
PARTICLE 2026.04		37.9
PARTICLE 2026.04		37.2