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Class-Incremental Learning on Stanford Cars (T=10, test)

77.5Avg Accuracy

RanPAC

36.10846.85457.668.346Jul 5, 2023Dec 25, 2023Jun 15, 2024Dec 5, 2024May 27, 2025Nov 16, 2025May 8, 2026
Updated 22d ago

Evaluation Results

MethodLinks
2023.07
77.562--
2024.03
76.81-66.7713.95
2024.03
73.28-62.2415.08
2023.07
73---
2024.03
72.82-56.9113.5
2024.03
71.92-60.3913
2026.05
70.4---
2024.03
70.36-57.2716.31
2025.09
69.84---
2025.09
69.7---
2026.05
68.7---
2026.05
67.4---
2026.05
67.1---
2026.05
66.7---
2026.05
66.1---
2023.07
66---
2026.05
65.9---
2025.09
65.62---
2025.09
65.59---
2025.09
64.9---
2026.05
64.5---
2025.09
63.55---
2023.07
62.2---
2026.05
61.7---
2026.05
61.3---
2025.09
60.78---
2023.07
51.7---
2023.07
43.2---
2023.07
41.4---
2023.07
40.517--
2023.07
40.1---
2023.07
38.2---
2023.07
37.710--
2024.03
--83.96-