Image de couverture de livre

Contrastive Learning for Regression on Hyperspectral Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dhaini, Mohamad, Berar, Maxime, Honeine, Paul, Van Exem, Antonin
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data
par: Dhaini, Mohamad, et autres
Publié: (2026)

Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
par: Ruan, Xiaoqian, et autres
Publié: (2021)

Learning Transformer-based World Models with Contrastive Predictive Coding
par: Burchi, Maxime, et autres
Publié: (2025)

Manifold Learning for Hyperspectral Images
par: Harkat, Fethi, et autres
Publié: (2025)

Noise2Noise Denoising of CRISM Hyperspectral Data
par: Platt, Robert, et autres
Publié: (2024)

Universal Domain Adaptation Benchmark for Time Series Data Representation
par: Mussard, Romain, et autres
Publié: (2025)

Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
par: Zhang, Hongyuan, et autres
Publié: (2024)

Honey Adulteration Detection using Hyperspectral Imaging and Machine Learning
par: Al-Awadhi, Mokhtar A., et autres
Publié: (2025)

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders
par: Faruk, Tanjim Bin, et autres
Publié: (2025)

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
par: Wang, Yiping, et autres
Publié: (2024)

Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data
par: Jing, Long, et autres
Publié: (2026)

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
par: Moutakanni, Théo, et autres
Publié: (2024)

SupReMix: Supervised Contrastive Learning for Medical Imaging Regression with Mixup
par: Wu, Yilei, et autres
Publié: (2023)

ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
par: Jung, Minseop, et autres
Publié: (2024)

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
par: Mildenberger, David, et autres
Publié: (2025)

Variational Supervised Contrastive Learning
par: Wang, Ziwen, et autres
Publié: (2025)

GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
par: Yang, Aitao, et autres
Publié: (2024)

Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques
par: Pande, Shivam
Publié: (2024)

Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
par: Buranasiri, Vutichart, et autres
Publié: (2026)

Deep Regression Representation Learning with Topology
par: Zhang, Shihao, et autres
Publié: (2024)

Regressing Transformers for Data-efficient Visual Place Recognition
par: Leyva-Vallina, María, et autres
Publié: (2024)

FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
par: Lee, Chang Won, et autres
Publié: (2024)

3-D Representations for Hyperspectral Flame Tomography
par: Tricard, Nicolas, et autres
Publié: (2026)

Rethinking Positive Pairs in Contrastive Learning
par: Wu, Jiantao, et autres
Publié: (2024)

A Mathematical Perspective On Contrastive Learning
par: Baptista, Ricardo, et autres
Publié: (2025)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
par: Zhang, Jihai, et autres
Publié: (2024)

Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation
par: Jacovella, Maxime, et autres
Publié: (2024)

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
par: Sobal, Vlad, et autres
Publié: (2024)

Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
par: Liu, Yidan, et autres
Publié: (2024)

Sample Selection via Contrastive Fragmentation for Noisy Label Regression
par: Kim, Chris Dongjoo, et autres
Publié: (2025)

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
par: Joshi, Siddharth, et autres
Publié: (2024)

Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
par: Shao, Renrong, et autres
Publié: (2025)

Confidence-aware Contrastive Learning for Selective Classification
par: Wu, Yu-Chang, et autres
Publié: (2024)

Visual Imitation Learning with Calibrated Contrastive Representation
par: Wang, Yunke, et autres
Publié: (2024)

Long-Tail Learning with Rebalanced Contrastive Loss
par: De Alvis, Charika, et autres
Publié: (2023)

Generalized Contrastive Learning for Universal Multimodal Retrieval
par: Lee, Jungsoo, et autres
Publié: (2025)

Deep Learning for BioImaging: What Are We Learning?
par: Svatko, Ivan, et autres
Publié: (2026)

Self-supervised Learning for Hyperspectral Images of Trees
par: Rahman, Moqsadur, et autres
Publié: (2025)

FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
par: Chen, Youguang, et autres
Publié: (2024)

Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery
par: Panuntun, Ilham Adi, et autres
Publié: (2024)