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Benchmarks
Category Discovery on Stanford Cars Old classes
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91
Accuracy
µGCD
7.384
29.092
50.8
72.508
Nov 28, 2023
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
µGCD
Pre-training=DINOv2
2023.11
91
SimGCD
Pre-training=DINOv2
2023.11
81.9
OpenCon
Pre-training=DINO
2023.11
78.6
SimGCD
Pre-training=DINO
2023.11
71.9
UNO+
Pre-training=DINO
2023.11
70.5
PromptCAL
Pre-training=DINO
2023.11
70.1
µGCD
Pre-training=DINO
2023.11
68.1
GCD
Pre-training=DINOv2
2023.11
67.8
MIB
Pre-training=DINO
2023.11
66.9
RankStats+
Pre-training=DINO
2023.11
61.8
XCon
Pre-training=DINO
2023.11
58.8
GCD
Pre-training=DINO
2023.11
57.6
ORCA
Pre-training=DINO
2023.11
50.1
k-means
Pre-training=DINOv2
2023.11
24.5
k-means
Pre-training=DINO
2023.11
10.6
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