5-way Fine-grained Image Classification on CUB (Few-Shot Evaluation) benchmark leaderboard · SOTA2 Research

5-way Fine-grained Image Classification on CUB (Few-Shot Evaluation)

79.61-Shot AccuracySum-min

Evaluation Results

Method	Links
Sum-min2022.04		79.6	90.48
Min-min2022.04		78.51	89.73
Match-sum2022.04		77.95	88.93
MixtFSL2022.04		73.94	86.01
Neg-Margin2022.04		72.66	89.4
Sum-min2022.04		72.09	87.05
ProtoNet+2022.04		71.88	86.64
MELR2022.04		70.26	85.01
Min-min2022.04		70.15	84.94
FEAT2022.04		68.87	82.9
MAML+2022.04		68.42	83.47
RelationNet+2022.04		67.59	82.75
Match-sum2022.04		67.35	83.82
Baseline++2022.04		67.02	83.58
ProtoNet2022.04		64.42	81.82
RelationNet2022.04		62.45	76.11
MatchingNet2022.04		61.16	72.86
Robust-202022.04		58.67	75.62
MAML2022.04		55.92	72.09