SOTAVerified

Metric Learning

The goal of Metric Learning is to learn a representation function that maps objects into an embedded space. The distance in the embedded space should preserve the objects’ similarity — similar objects get close and dissimilar objects get far away. Various loss functions have been developed for Metric Learning. For example, the contrastive loss guides the objects from the same class to be mapped to the same point and those from different classes to be mapped to different points whose distances are larger than a margin. Triplet loss is also popular, which requires the distance between the anchor sample and the positive sample to be smaller than the distance between the anchor sample and the negative sample.

Source: Road Network Metric Learning for Estimated Time of Arrival

Papers

Showing 251300 of 1648 papers

TitleStatusHype
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node EmbeddingsCode1
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?Code1
It Takes Two to Tango: Mixup for Deep Metric LearningCode1
MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-ResolutionCode1
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial PredictionsCode1
Continual Learning of Object InstancesCode1
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision TransformersCode1
DAS: Densely-Anchored Sampling for Deep Metric LearningCode1
Adversarial Self-Supervised Scene Flow EstimationCode1
Large-to-small Image Resolution Asymmetry in Deep Metric LearningCode1
Contrastive Bayesian Analysis for Deep Metric LearningCode1
Deep Attentive Time WarpingCode1
Contrastive Learning with Hard Negative SamplesCode1
Deep Factorized Metric LearningCode1
Deep Cosine Metric Learning for Person Re-IdentificationCode1
Deep Compositional Metric LearningCode1
Deep Iterative and Adaptive Learning for Graph Neural NetworksCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
Learning RGB-D Feature Embeddings for Unseen Object Instance SegmentationCode1
Learning with Memory-based Virtual Classes for Deep Metric LearningCode1
Context-Aware Visual Compatibility PredictionCode0
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural NetworksCode0
Adversarial-Metric Learning for Audio-Visual Cross-Modal MatchingCode0
Content-Based Landmark Retrieval Combining Global and Local Features using Siamese Neural NetworksCode0
Interval Bound Interpolation for Few-shot Learning with Few TasksCode0
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal LiftingCode0
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and EmbeddingCode0
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL PoliciesCode0
Inspecting class hierarchies in classification-based metric learning modelsCode0
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete LabelingCode0
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
In Defense of the Triplet Loss for Person Re-IdentificationCode0
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for ImagesCode0
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist ContinuationCode0
Incorporating the Rhetoric of Scientific Language into Sentence Embeddings using Phrase-guided Distant Supervision and Metric LearningCode0
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate MetricCode0
In Defense of the Classification Loss for Person Re-IdentificationCode0
Improved Diversity-Promoting Collaborative Metric Learning for RecommendationCode0
Collect and Select: Semantic Alignment Metric Learning for Few-Shot LearningCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
Collaborative Residual Metric LearningCode0
Collaborative Preference Embedding against Sparse LabelsCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine SimilarityCode0
IDEAL: Independent Domain Embedding Augmentation LearningCode0
Improved Deep Metric Learning with Multi-class N-pair Loss ObjectiveCode0
Collaborative Metric LearningCode0
Human Motion Analysis with Deep Metric LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3ResNet-50 + AVSLR@191.5Unverified
4NEDR@191.5Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5Unverified
6EfficientDML-VPTSP-G/512R@191.2Unverified
7CCL (ResNet-50)R@191.02Unverified
8ResNet50 + LanguageR@190.2Unverified
9ResNet-50 + MetrixR@189.6Unverified
10ResNet50 + S2SDR@189.5Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2Unverified
2STIRR@188.3Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188Unverified
4ViT-TripletR@186.5Unverified
5ROADMAP (DeiT-S)R@186Unverified
6Hyp-ViTR@185.9Unverified
7Hyp-DINOR@185.1Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1Unverified
9CCL (ResNet-50)R@183.1Unverified
10ROADMAP (ResNet-50)R@183.1Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1Unverified
2EfficientDML-VPTSP-G/512R@188.5Unverified
3Hyp-ViTR@185.6Unverified
4Hyp-DINOR@180.9Unverified
5NEDR@174.9Unverified
6CCL (ResNet-50)R@173.45Unverified
7ResNet-50 + AVSLR@171.9Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8Unverified
9ResNet50 + LanguageR@171.4Unverified
10ResNet-50 + MetrixR@171.4Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7Unverified
2STIRR@195Unverified
3MGAR@194.3Unverified
4Hyp-ViTR@192.5Unverified
5Hyp-DINOR@192.4Unverified
6CCL (ResNet-50)R@192.31Unverified
7Gradient SurgeryR@192.21Unverified
8ResNet-50 + MetrixR@192.2Unverified
9EfficientDML-VPTSP-G/512R@192.1Unverified
10ViT-TripletR@192.1Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8Unverified
2CSLAverage-mAP31Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38Unverified
2CSLAverage-mAP28.7Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37Unverified
2CSLAverage-mAP12.1Unverified