:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dhaini, Mohamad, Berar, Maxime, Honeine, Paul, Van Exem, Antonin
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2403.17014
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data
by: Dhaini, Mohamad, et al.
Published: (2026)

Universal Domain Adaptation Benchmark for Time Series Data Representation
by: Mussard, Romain, et al.
Published: (2025)

Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
by: Ruan, Xiaoqian, et al.
Published: (2021)

Learning Transformer-based World Models with Contrastive Predictive Coding
by: Burchi, Maxime, et al.
Published: (2025)

Manifold Learning for Hyperspectral Images
by: Harkat, Fethi, et al.
Published: (2025)

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
by: Mussard, Romain, et al.
Published: (2025)

Noise2Noise Denoising of CRISM Hyperspectral Data
by: Platt, Robert, et al.
Published: (2024)

Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
by: Zhang, Hongyuan, et al.
Published: (2024)

Honey Adulteration Detection using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)

SupReMix: Supervised Contrastive Learning for Medical Imaging Regression with Mixup
by: Wu, Yilei, et al.
Published: (2023)

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
by: Moutakanni, Théo, et al.
Published: (2024)

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders
by: Faruk, Tanjim Bin, et al.
Published: (2025)

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
by: Wang, Yiping, et al.
Published: (2024)

Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data
by: Jing, Long, et al.
Published: (2026)

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
by: Mildenberger, David, et al.
Published: (2025)

ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
by: Jung, Minseop, et al.
Published: (2024)

Variational Supervised Contrastive Learning
by: Wang, Ziwen, et al.
Published: (2025)

GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
by: Yang, Aitao, et al.
Published: (2024)

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

Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
by: Buranasiri, Vutichart, et al.
Published: (2026)

Sample Selection via Contrastive Fragmentation for Noisy Label Regression
by: Kim, Chris Dongjoo, et al.
Published: (2025)

Deep Regression Representation Learning with Topology
by: Zhang, Shihao, et al.
Published: (2024)

Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation
by: Jacovella, Maxime, et al.
Published: (2024)

FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
by: Lee, Chang Won, et al.
Published: (2024)

Regressing Transformers for Data-efficient Visual Place Recognition
by: Leyva-Vallina, María, et al.
Published: (2024)

3-D Representations for Hyperspectral Flame Tomography
by: Tricard, Nicolas, et al.
Published: (2026)

Self-supervised Learning for Hyperspectral Images of Trees
by: Rahman, Moqsadur, et al.
Published: (2025)

Rethinking Positive Pairs in Contrastive Learning
by: Wu, Jiantao, et al.
Published: (2024)

A Mathematical Perspective On Contrastive Learning
by: Baptista, Ricardo, et al.
Published: (2025)

Deep Learning for BioImaging: What Are We Learning?
by: Svatko, Ivan, et al.
Published: (2026)

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
by: Sobal, Vlad, et al.
Published: (2024)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
by: Zhang, Jihai, et al.
Published: (2024)

Do Generated Data Always Help Contrastive Learning?
by: Wang, Yifei, et al.
Published: (2024)

Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)

Confidence-aware Contrastive Learning for Selective Classification
by: Wu, Yu-Chang, et al.
Published: (2024)

Visual Imitation Learning with Calibrated Contrastive Representation
by: Wang, Yunke, et al.
Published: (2024)

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
by: Joshi, Siddharth, et al.
Published: (2024)

Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
by: Shao, Renrong, et al.
Published: (2025)

Long-Tail Learning with Rebalanced Contrastive Loss
by: De Alvis, Charika, et al.
Published: (2023)

Generalized Contrastive Learning for Universal Multimodal Retrieval
by: Lee, Jungsoo, et al.
Published: (2025)