Imagen de Portada

Understanding Hyperbolic Metric Learning through Hard Negative Sampling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yue, Yun, Lin, Fangzhou, Mou, Guanyi, Zhang, Ziming
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond
por: Lin, Fangzhou, et al.
Publicado: (2024)

Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples
por: Rösch, Philipp J., et al.
Publicado: (2024)

Deep Loss Convexification for Learning Iterative Models
por: Zhang, Ziming, et al.
Publicado: (2024)

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning
por: Deuser, Fabian, et al.
Publicado: (2025)

QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
por: Kwak, Jaehyun, et al.
Publicado: (2025)

Hard Negative Sample Mining for Whole Slide Image Classification
por: Huang, Wentao, et al.
Publicado: (2024)

Hyperbolic Metric Learning for Visual Outlier Detection
por: Gonzalez-Jimenez, Alvaro, et al.
Publicado: (2024)

Contrastive Learning with Auxiliary User Detection for Identifying Activities
por: Ge, Wen, et al.
Publicado: (2024)

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
por: Zhang, Le, et al.
Publicado: (2023)

Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
por: Liu, Feng, et al.
Publicado: (2024)

Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples
por: Jo, Dae Ung, et al.
Publicado: (2024)

MMGeoLM: Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models
por: Sun, Kai, et al.
Publicado: (2025)

Globally Correlation-Aware Hard Negative Generation
por: Peng, Wenjie, et al.
Publicado: (2024)

Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives
por: Wang, Junli, et al.
Publicado: (2026)

GeNIe: Generative Hard Negative Images Through Diffusion
por: Koohpayegani, Soroush Abbasi, et al.
Publicado: (2023)

Enhancing Contrastive Learning for Geolocalization by Discovering Hard Negatives on Semivariograms
por: Chen, Boyi, et al.
Publicado: (2025)

AdaSin: Enhancing Hard Sample Metrics with Dual Adaptive Penalty for Face Recognition
por: Guo, Qiqi, et al.
Publicado: (2025)

Identifying Hard Noise in Long-Tailed Sample Distribution
por: Yi, Xuanyu, et al.
Publicado: (2022)

Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation
por: Zhang, Hai-Xin, et al.
Publicado: (2024)

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
por: Karlov, Mark, et al.
Publicado: (2024)

NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks
por: Lin, Fangzhou, et al.
Publicado: (2025)

HyperST: Hierarchical Hyperbolic Learning for Spatial Transcriptomics Prediction
por: Zhang, Chen, et al.
Publicado: (2025)

SurgCUT3R: Surgical Scene-Aware Continuous Understanding of Temporal 3D Representation
por: Xu, Kaiyuan, et al.
Publicado: (2026)

Omni-Supervised Motion Editing: Balancing Change and Invariance through Positive-Negative Learning
por: Shi, Zhenwu, et al.
Publicado: (2026)

Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-ID
por: Liu, Hankun, et al.
Publicado: (2025)

SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework
por: Lin, Fangzhou, et al.
Publicado: (2024)

Improving Generalization via Meta-Learning on Hard Samples
por: Jain, Nishant, et al.
Publicado: (2024)

Learning Degradation-Independent Representations for Camera ISP Pipelines
por: Guo, Yanhui, et al.
Publicado: (2023)

STEC: A Reference-Free Spatio-Temporal Entropy Coverage Metric for Evaluating Sampled Video Frames
por: Lin, Shih-Yao
Publicado: (2026)

Test-Time Temporal Sampling for Efficient MLLM Video Understanding
por: Wang, Kaibin, et al.
Publicado: (2025)

Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying
por: Xue, Youze, et al.
Publicado: (2025)

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
por: Yun, Taeyoung, et al.
Publicado: (2025)

HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
por: Kim, Wonjae, et al.
Publicado: (2024)

Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction
por: Huang, Po-Hsuan, et al.
Publicado: (2024)

Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples
por: Wang, Yeyuan, et al.
Publicado: (2024)

Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification
por: Hu, Lexiang, et al.
Publicado: (2026)

Cross-Modal Clustering-Guided Negative Sampling for Self-Supervised Joint Learning from Medical Images and Reports
por: Lan, Libin, et al.
Publicado: (2025)

$\text{H}^2$em: Learning Hierarchical Hyperbolic Embeddings for Compositional Zero-Shot Learning
por: Li, Lin, et al.
Publicado: (2025)

Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models
por: Huang, Xin, et al.
Publicado: (2025)

StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
por: Xia, Renqiu, et al.
Publicado: (2023)