Cars
Benchmarks
TaskDatasetSOTA resultTrendResults
Cars-196
92.73R@1
24
Cars 1.0 (val)
94.6Accuracy
23
Cars
78.4Clean Top-1 Accuracy
22
Cars196
64.05Accuracy
21
CARS 196 (test)
76.4NMI
21
Cars
94.43Average Accuracy
20
Cars
77.45Top-1 Acc
20
Cars unlearnable version (test)
83.74Accuracy
18
Cars-196 cropped (test)
93Recall@1
17
Cars MTIL order-II
88.1Average Score (%)
16
Cars (full)
92.2Accuracy
16
Cars cross-domain from tiered-ImageNet
59.01Accuracy
16
Cars cross-domain from mini-ImageNet
51.67Accuracy
16
Cars196
86.9Final Accuracy
15
Cars-196
63.1cACC
15
Cars MDCII Order-I
70.4Transfer Score
13
Cars
70.1Top-1 Accuracy
13
Cars
-5.12CAD
13
Cars
0.693Weighted Kendall's tau
13
CARS (test)
88.34Recall@1
13
Cars meta (test)
53.18Accuracy
12
Cars
41FID
12
CARS196 cropped
94.8Recall@1
12
Cars-196 B0 Inc10 (test)
83.1Avg Accuracy
11
Cars
86.9Average Accuracy
11