Cover Image

IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Jingyi, Wang, Shengnan, Yang, Weidong, Tu, Siwei, Bai, Lei, Fei, Ben
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction
by: Zhang, Jialiang, et al.
Published: (2025)

Arctic Sea Ice Image Super-Resolution Based on Multi-Scale Convolution and Dual-Gating Mechanism
by: Fang, Zhaomin, et al.
Published: (2024)

IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification
by: Taleghan, Samira Alkaee, et al.
Published: (2025)

SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting
by: Xu, Jingyi, et al.
Published: (2024)

Frequency-Enhanced Hilbert Scanning Mamba for Short-Term Arctic Sea Ice Concentration Prediction
by: Gao, Feng, et al.
Published: (2026)

Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts
by: Vahedi, Behzad, et al.
Published: (2024)

Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation
by: Debarnot, Valentin, et al.
Published: (2024)

Lightening Anything in Medical Images
by: Fei, Ben, et al.
Published: (2024)

DeepEMC-T2 Mapping: Deep Learning-Enabled T2 Mapping Based on Echo Modulation Curve Modeling
by: Pei, Haoyang, et al.
Published: (2024)

Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends
by: Ghasemi, Nafiseh, et al.
Published: (2024)

DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets
by: Tama, Bayu Adhi, et al.
Published: (2025)

IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
by: Xu, Jingyi, et al.
Published: (2024)

Investigating the Effect of Spatial Context on Multi-Task Sea Ice Segmentation
by: Vahedi, Behzad, et al.
Published: (2025)

From Bench to Bedside: A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice
by: Bai, Yaowei, et al.
Published: (2025)

Benchmarking Deep Learning and Statistical Target Detection Methods for PFM-1 Landmine Detection in UAV Hyperspectral Imagery
by: Lekhak, Sagar, et al.
Published: (2026)

Internship Report: Benchmark of Deep Learning-based Imaging PPG in Automotive Domain
by: Tu, Yuqi, et al.
Published: (2024)

Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction
by: Sultan, Muhammad A., et al.
Published: (2023)

Benchmarking Deep Learning Methods for Irradiance Estimation from Sky Images with Applications to Video Prediction-Based Irradiance Nowcasting
by: Varaschin, Lorenzo F. C., et al.
Published: (2025)

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
by: Shoeibi, Afshin, et al.
Published: (2020)

DiffScale: Continuous Downscaling and Bias Correction of Subseasonal Wind Speed Forecasts using Diffusion Models
by: Springenberg, Maximilian, et al.
Published: (2025)

Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model
by: Wang, Wei, et al.
Published: (2025)

Averaged Deep Denoisers for Image Regularization
by: Nair, Pravin, et al.
Published: (2022)

Latent Space Single-Pixel Imaging Under Low-Sampling Conditions
by: Yuan, Chenyu
Published: (2025)

Deep Distillation Gradient Preconditioning for Inverse Problems
by: Gualdrón-Hurtado, Romario, et al.
Published: (2025)

Deep Learning for Automated Wound Classification And Segmentation
by: Jahangir, Md. Zihad Bin, et al.
Published: (2024)

DriveNetBench: An Affordable and Configurable Single-Camera Benchmarking System for Autonomous Driving Networks
by: Al-Bustami, Ali, et al.
Published: (2025)

Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
by: Krones, Felix, et al.
Published: (2024)

DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography
by: He, Haolin, et al.
Published: (2025)

Malaria detection using Deep Convolution Neural Network
by: Kumar, Sumit, et al.
Published: (2023)

Improving Deep Learning for Accelerated MRI With Data Filtering
by: Lin, Kang, et al.
Published: (2025)

Stochastic Deep Restoration Priors for Imaging Inverse Problems
by: Hu, Yuyang, et al.
Published: (2024)

Confidence Estimation in Unsupervised Deep Change Vector Analysis
by: Saha, Sudipan
Published: (2024)

A Deep Learning Architectures for Kidney Disease Classification
by: Farooq, Muhammad Shoaib, et al.
Published: (2024)

Robust Segmentation of CPR-Induced Capnogram Using U-net: Overcoming Challenges with Deep Learning
by: Elola, Andoni, et al.
Published: (2024)

Latent Space Imaging
by: Souza, Matheus, et al.
Published: (2024)

Deep Feature-specific Imaging
by: Lu, Yizhou, et al.
Published: (2025)

Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping
by: Zhu, Yanmin, et al.
Published: (2026)

Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory
by: Alkhouri, Ismail, et al.
Published: (2025)

Boosting Cardiac Color Doppler Frame Rates with Deep Learning
by: Puig, Julia, et al.
Published: (2024)

Deep convolutional demosaicking network for multispectral polarization filter array
by: Ishiuchi, Tomoharu, et al.
Published: (2024)