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Metric Learning On Cars196

Metrics

R@1

Results

Performance results of various models on this benchmark

Paper Title
Unicom+ViT-L@336px98.2Unicom: Universal and Compact Representation Learning for Image Retrieval
Hyp-DINO 8x892.8Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
NED91.5Calibrated neighborhood aware confidence measure for deep metric learning
ResNet-50 + AVSL91.5Attributable Visual Similarity Learning
ResNet-50 + Intra-Batch (ensemble of 5)91.5Learning Intra-Batch Connections for Deep Metric Learning
EfficientDML-VPTSP-G/51291.2Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
CCL (ResNet-50)91.02Center Contrastive Loss for Metric Learning
ResNet50 + Language90.2Integrating Language Guidance into Vision-based Deep Metric Learning
ResNet-50 + Metrix89.6It Takes Two to Tango: Mixup for Deep Metric Learning
Recall@k Surrogate loss (ViT-B/16)89.5Recall@k Surrogate Loss with Large Batches and Similarity Mixup
ResNet50 + S2SD89.5S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
ResNet-50 + Cross-Entropy89.3A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Hyp-DINO89.2Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
ResNet50 + NIR89.1Non-isotropy Regularization for Proxy-based Deep Metric Learning
Margin + DAS88.34DAS: Densely-Anchored Sampling for Deep Metric Learning
BN-Inception + Proxy-Anchor88.3Proxy Anchor Loss for Deep Metric Learning
Recall@k Surrogate loss (ResNet-50)88.3Recall@k Surrogate Loss with Large Batches and Similarity Mixup
ResNet-50 + Intra-Batch88.1Learning Intra-Batch Connections for Deep Metric Learning
ABE + HORDE88.0Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
MS + SEC + DAS87.8DAS: Densely-Anchored Sampling for Deep Metric Learning
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