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Fine grained classification on Oxford-IIIT Pets

99.6Top-1 Accuracy

OmniVec2

Updated 21d ago

Evaluation Results

Method	Links
OmniVec2 2025.07		99.6
OmniVec 2025.07		99.2
DINOv3-B 2026.05		96.54
DINOv2-Reg-B 2026.05		95.97
AmoebaNet-B 2020.01		95.9
VECA-B 2026.05		95.67
DINOv2-B 2026.05		95.61
VECA-B 2026.05		95.12
Assemble-ResNet-FGVC-50 2020.01		94.3
ResNet-50 (ReLabel-trained) 2021.01		94.28
ResNet-50 (Baseline) 2021.01		93.92
DFN2B-CLIP-B/16 2026.05		93.59
C-RADIOv3-B 2026.05		93.54
SigLIP2-B/16-256 2026.05		92.89
CLIP-B/16 2026.05		92.72
ResNet-50 2020.01		92.5
OpenCLIP-B/16 2026.05		91.91
CoCoOp 2024.10		90.5
TransCLIP 2025.08		89.3
CoOp 2024.10		89.1
CLIP-VIT-B/16 2024.10		88.3
ADAPT 2025.08		87.95
TPT 2024.10		87.8
StatA 2025.08		87.7
Dota 2025.08		87.33
Ensemble 2024.10		86.9
DMN 2025.08		86.78
ADAPT 2025.08		86.43
TDA 2025.08		86.18
DPE 2025.08		85.97
BCA 2025.08		85.58
TPT 2025.08		84.49
TPS 2025.08		84.4
C-TPT 2025.08		84.1
CLIP 2025.08		83.57
DiffTPT 2025.08		83.4
APM 2024.10		81.6