Recognition on ModelNet40-LS (test) benchmark leaderboard · SOTA2 Research

Recognition on ModelNet40-LS (test)

0.7559AccuracyExplicit Shape Bias - SimpleShot

Evaluation Results

Method
Explicit Shape Bias - SimpleShot2021.01	0.7559	0.24
Explicit Shape Bias - SimpleShot2021.01	0.7539	0.24
Explicit Shape Bias - FEAT2021.01	0.7484	0.24
Explicit Shape Bias - FEAT2021.01	0.7466	0.25
SimpleShot2021.01	0.7429	0.24
RFS2021.01	0.7264	0.26
Explicit Shape Bias - SimpleShot2021.01	0.7161	0.26
FEAT2021.01	0.7154	0.23
Explicit Shape Bias - SimpleShot2021.01	0.6488	0.11
ProtoNet2021.01	0.6444	0.24
Explicit Shape Bias - SimpleShot2021.01	0.6421	0.11
Explicit Shape Bias - FEAT2021.01	0.6408	0.11
Explicit Shape Bias - FEAT2021.01	0.638	0.11
Triplet2021.01	0.6307	0.59
Explicit Shape Bias - FEAT2021.01	0.6284	0.3
SimpleShot2021.01	0.6273	0.11
Explicit Shape Bias - SimpleShot2021.01	0.6191	0.31
RFS2021.01	0.6061	0.11
FEAT2021.01	0.6044	0.11
Explicit Shape Bias - SimpleShot2021.01	0.6023	0.3
Explicit Shape Bias - FEAT2021.01	0.6019	0.31
Explicit Shape Bias - SimpleShot2021.01	0.5981	0.31
Explicit Shape Bias - SimpleShot2021.01	0.5948	0.11
SimpleShot2021.01	0.5899	0.29
FEAT2021.01	0.583	0.29
RFS2021.01	0.5667	0.3
Triplet2021.01	0.5253	0.66
Explicit Shape Bias - FEAT2021.01	0.5149	0.15
ProtoNet2021.01	0.5011	0.31
Explicit Shape Bias - SimpleShot2021.01	0.4984	0.16
Triplet2021.01	0.4979	0.26
Explicit Shape Bias - FEAT2021.01	0.486	0.16
Explicit Shape Bias - SimpleShot2021.01	0.4792	0.15
Explicit Shape Bias - SimpleShot2021.01	0.4789	0.15
ProtoNet2021.01	0.467	0.26
SimpleShot2021.01	0.4582	0.17
FEAT2021.01	0.4541	0.16
RFS2021.01	0.4379	0.16
Triplet2021.01	0.3724	0.37
ProtoNet2021.01	0.3644	0.17