paper-with-me

Metric Learning 벤치마크

Metric Learning on CARS196

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R@1

73.2 79.45 85.7 91.95 98.2 2017-06 2026-09 ResNet-50 + Margin — 79.6 (2017-06-23) ABE-8-512 — 85.2 (2018-04-02) GoogLeNet + HDML — 79.1 (2019-03-13) EPSHN(512) — 82.7 (2019-04-08) EPSHN(64) — 75.5 (2019-04-08) ABE + HORDE — 88.0 (2019-08-07) BN-Inception + SoftTriple — 84.5 (2019-09-11) ResNet50 (128) + MIC — 82.6 (2019-09-25) Group Loss — 85.6 (2019-12-01) CircleLoss — 83.4 (2020-02-25) ResNet-50 + Cross-Entropy — 89.3 (2020-03-19) ResNet50 (128) + PADS — 83.5 (2020-03-24) BN-Inception + Proxy-Anchor — 88.3 (2020-03-31) ResNet-50 + ProxyNCA++ — 86.5 (2020-04-02) ResNet50 + DiVA — 87.6 (2020-04-28) NED — 91.5 (2020-06-08) SCT(64) — 73.2 (2020-07-24) ResNet50 + S2SD — 89.5 (2020-09-17) ResNet-50 + Intra-Batch (ensemble of 5) — 91.5 (2021-02-15) ResNet-50 + Intra-Batch — 88.1 (2021-02-15) ResNet-50 + Metrix — 89.6 (2021-06-09) ProxyAnchor + DIML — 87.01 (2021-08-12) Recall@k Surrogate loss (ViT-B/16) — 89.5 (2021-08-25) Recall@k Surrogate loss (ResNet-50) — 88.3 (2021-08-25) Gradient Surgery — 86.5 (2022-01-27) ResNet50 + Language — 90.2 (2022-03-16) ResNet50 + NIR — 89.1 (2022-03-16) Hyp-DINO 8x8 — 92.8 (2022-03-21) Hyp-DINO — 89.2 (2022-03-21) Hyp-ViT — 86.5 (2022-03-21) ResNet-50 + AVSL — 91.5 (2022-03-28) Margin + DAS — 88.34 (2022-07-30) MS + SEC + DAS — 87.8 (2022-07-30) Unicom+ViT-L@336px — 98.2 (2023-04-12) CCL (ResNet-50) — 91.02 (2023-08-01) EfficientDML-VPTSP-G/512 — 91.2 (2024-02-04) ResNet-50 + Margin — 79.6 (2017-06-23) ABE-8-512 — 85.2 (2018-04-02) ABE + HORDE — 88.0 (2019-08-07) ResNet-50 + Cross-Entropy — 89.3 (2020-03-19) NED — 91.5 (2020-06-08) Hyp-DINO 8x8 — 92.8 (2022-03-21) Unicom+ViT-L@336px — 98.2 (2023-04-12)
RankModel R@1 Extra Training Data PaperCodeYear
1 Unicom+ViT-L@336px 98.2 Unicom: Universal and Compact Representation Learning for Image Retrieval OML-Team/open-metric-learning · deepglint/unicom · RocketFlash/easy_metric_learning 2023
2 Hyp-DINO 8x8 92.8 Hyperbolic Vision Transformers: Combining Improvements in Metric Learning OML-Team/open-metric-learning · htdt/hyp_metric 2022
3 NED 91.5 Calibrated neighborhood aware confidence measure for deep metric learning 2020
3 ResNet-50 + Intra-Batch (ensemble of 5) 91.5 Learning Intra-Batch Connections for Deep Metric Learning dvl-tum/intra_batch · DeryanurT/Final_Project 2021
3 ResNet-50 + AVSL 91.5 Attributable Visual Similarity Learning zbr17/avsl 2022
6 EfficientDML-VPTSP-G/512 91.2 Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning noahsark/parameterefficient-dml 2024
7 CCL (ResNet-50) 91.02 Center Contrastive Loss for Metric Learning 2023
8 ResNet50 + Language 90.2 Integrating Language Guidance into Vision-based Deep Metric Learning explainableml/languageguidance_for_dml 2022
9 ResNet-50 + Metrix 89.6 It Takes Two to Tango: Mixup for Deep Metric Learning billpsomas/Metrix_ICLR22 2021
10 ResNet50 + S2SD 89.5 S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning MLforHealth/S2SD 2020
10 Recall@k Surrogate loss (ViT-B/16) 89.5 Recall@k Surrogate Loss with Large Batches and Similarity Mixup yash0307/RecallatK_surrogate · yash0307/recallatk 2021
12 ResNet-50 + Cross-Entropy 89.3 A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses jeromerony/dml_cross_entropy 2020
13 Hyp-DINO 89.2 Hyperbolic Vision Transformers: Combining Improvements in Metric Learning OML-Team/open-metric-learning · htdt/hyp_metric 2022
14 ResNet50 + NIR 89.1 Non-isotropy Regularization for Proxy-based Deep Metric Learning explainableml/nonisotropicproxydml 2022
15 Margin + DAS 88.34 DAS: Densely-Anchored Sampling for Deep Metric Learning lizhaoliu-Lec/DAS 2022
16 BN-Inception + Proxy-Anchor 88.3 Proxy Anchor Loss for Deep Metric Learning tjddus9597/Proxy-Anchor-CVPR2020 · zhen8838/Circle-Loss · QuocThangNguyen/deep-metric-learning-tsinghua-dogs 2020
16 Recall@k Surrogate loss (ResNet-50) 88.3 Recall@k Surrogate Loss with Large Batches and Similarity Mixup yash0307/RecallatK_surrogate · yash0307/recallatk 2021
18 ResNet-50 + Intra-Batch 88.1 Learning Intra-Batch Connections for Deep Metric Learning dvl-tum/intra_batch · DeryanurT/Final_Project 2021
19 ABE + HORDE 88.0 Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings pierre-jacob/ICCV2019-Horde 2019
20 MS + SEC + DAS 87.8 DAS: Densely-Anchored Sampling for Deep Metric Learning lizhaoliu-Lec/DAS 2022
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