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Triplet

Papers

Showing 12261250 of 1626 papers

TitleStatusHype
Active Multi-Label Crowd Consensus0
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment AnalysisCode1
Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial SamplesCode0
MrMep: Joint Extraction of Multiple Relations and Multiple Entity Pairs Based on Triplet Attention0
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification0
Accurate and Scalable Version Identification Using Musically-Motivated EmbeddingsCode0
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification0
Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal RegularizationCode0
TRB: A Novel Triplet Representation for Understanding 2D Human BodyCode0
An End-to-End Network for Co-Saliency Detection in One Single Image0
A Prototypical Triplet Loss for Cover DetectionCode0
W2VV++: Fully Deep Learning for Ad-hoc Video SearchCode0
Diversity in Fashion Recommendation using Semantic ParsingCode0
Acoustic Scene Classification Based on a Large-margin Factorized CNN0
Increasing the Detectability of Phase-Amplitude Coupling0
Active Ordinal Querying for Tuplewise Similarity LearningCode0
以三元組損失微調時延神經網路語者嵌入函數之語者辨識系統(Time Delay Neural Network-based Speaker Embedding Function Fine-tuned with Triplet Loss for Distance-based Speaker Recognition)0
Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss0
Deep Metric Learning With Tuplet Margin Loss0
Deep Meta Metric LearningCode0
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning0
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification0
Learning Local Descriptors With a CDF-Based Dynamic Soft Margin0
Better and Faster: Exponential Loss for Image Patch Matching0
Content and Style Disentanglement for Artistic Style Transfer0
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