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Continual Learning on ImageNet-R (20 tasks)

86.26Average Accuracy (20 Tasks)

LoDA + CA

49.745659.225368.70578.1847Mar 30, 2024Aug 13, 2024Dec 27, 2024May 13, 2025Sep 26, 2025Feb 9, 2026Jun 26, 2026
Updated 26d ago

Evaluation Results

MethodLinks
2026.02
86.26-81.13--
2026.02
84.94-78.96--
2026.02
84.34-79.43--
2026.05
84.32-79.54--
2026.05
84.25-79.46--
2026.02
83.69-78.19--
2026.05
83.45-77.2--
2026.06
82.83--7.846
2026.02
82.77-76.37--
2026.06
82.41--10.2520
2026.05
82.35-78.31--
2026.02
82.3-75.67--
2026.06
81.71--12.266
2026.06
81.64--8.497
2026.06
81.55--8.8920
2026.06
81.27--13.6720
2024.03
81.1481.14---
2026.05
80.66-74.96--
2026.05
80.65-75.53--
2026.05
80.39-75.04--
2026.05
80.28-73.78--
2026.02
80.22-75.26--
2026.02
79.92-74.63--
2026.05
79.76-73.01--
2026.02
79.28-72.41--
2024.03
77.2871.01---
2026.02
77.28-71.01--
2026.02
75.34-69.96--
2026.05
75.34-69.96--
2026.02
75.28-69.64--
2024.03
7468.41---
2024.03
73.7266.98---
2026.02
72.45-66.61--
2024.03
72.3467.28---
2024.03
70.6365.71---
2024.03
65.861---
2024.03
64.5757.92---
2024.03
51.1534.62---