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Class-incremental learning on ImageNet-R 20-task

88.21Average Accuracy

MoP

36.52249.94163.3676.779Mar 27, 2024Jul 8, 2024Oct 20, 2024Feb 1, 2025May 16, 2025Aug 28, 2025Dec 10, 2025
Updated 3d ago

Evaluation Results

MethodLinks
2025.12
88.21--82.24--
2025.12
86.77--79.32--
2025.12
84.19--76.27--
2025.12
83.8--73.54--
2025.12
83.78--77.95--
2025.12
82.81--76.05--
2025.12
82.15--73.68--
2024.03
81.75--74.53--
2024.03
81.75--74.53--
2025.12
81.28--72.67--
2024.03
78.87--72.6--
2025.12
78.85--69.3--
2025.12
78.28--67.94--
2024.03
77.84---69.6-
2024.03
76.97---69.65-
2025.12
76.43--62.62--
2024.03
75.84--69.1--
2025.11
75.35----80.5
2025.11
75.26----80.22
2024.03
75.08---67.3-
2024.03
75--70.02--
2024.03
74.49---65.82-
2024.03
73.67---68.88-
2025.11
73.59----77.93
2024.03
70.67--62.9--
2024.03
70.36---65.32-
2025.11
68.97----74.16
2024.03
67.59--61.35--
2025.11
65.23----71.3
2024.03
62.33--61.97--
2024.03
61.92---54.33-
2025.11
49.95----65.32
2024.03
38.51--24.22--
2024.10
-82.06----
2024.10
-4.7522.8---
2024.10
-35.9859.68---
2024.10
-65.8977.15---
2024.10
-68.4278.68---
2024.10
-67.8777.42---
2024.10
-72.3779.88---
2024.10
-76.4678.76---
2024.10
-74.4180.96---
2024.10
-78.182.7---