:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nogami, Takafumi, Kagiwada, Satoshi, Iyatomi, Hitoshi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2510.12909
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis
by: Kudo, Shoma, et al.
Published: (2024)

Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis
by: Iwano, Kohei, et al.
Published: (2024)

DDD: Discriminative Difficulty Distance for plant disease diagnosis
by: Arima, Yuji, et al.
Published: (2025)

Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework
by: Wayama, Ryosuke, et al.
Published: (2024)

Domain-invariant feature learning in brain MR imaging for content-based image retrieval
by: Tobari, Shuya, et al.
Published: (2025)

SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers
by: Kawada, Takuro, et al.
Published: (2025)

Acquisition of interpretable domain information during brain MR image harmonization for content-based image retrieval
by: Abe, Keima, et al.
Published: (2025)

TAUE: Training-free Noise Transplant and Cultivation Diffusion Model
by: Nagai, Daichi, et al.
Published: (2025)

iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings
by: Tomoshige, Shuhei, et al.
Published: (2025)

A Domain-Adapted Lightweight Ensemble for Resource-Efficient Few-Shot Plant Disease Classification
by: Islam, Anika, et al.
Published: (2025)

Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
by: Jiang, Yongwei, et al.
Published: (2026)

Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training
by: Okamoto, Hideaki, et al.
Published: (2021)

RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
by: Zhu, Yazhou, et al.
Published: (2024)

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
by: Ma, Ran, et al.
Published: (2024)

Balanced Few-Shot Episodic Learning for Accurate Retinal Disease Diagnosis
by: Khale, Jasmaine, et al.
Published: (2025)

Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment
by: Zhao, Yaze, et al.
Published: (2026)

Pseudo Anomalies Are All You Need: Diffusion-Based Generation for Weakly-Supervised Video Anomaly Detection
by: Hashimoto, Satoshi, et al.
Published: (2025)

Development of an Improved Capsule-Yolo Network for Automatic Tomato Plant Disease Early Detection and Diagnosis
by: Ochijenu, Idris, et al.
Published: (2025)

Robust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision
by: Zhou, Yuyue, et al.
Published: (2026)

Robust Fair Disease Diagnosis in CT Images
by: Li, Justin, et al.
Published: (2026)

Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
by: Perera, Rashindrie, et al.
Published: (2024)

QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
by: Hou, Junlin, et al.
Published: (2024)

Out-of-Domain Robustness via Targeted Augmentations
by: Gao, Irena, et al.
Published: (2023)

Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
by: Su, Jiapeng, et al.
Published: (2024)

Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine
by: Oh, Jun-Young, et al.
Published: (2024)

Benchmarking Vision Foundation Models for Domain-Generalizable Face Anti-Spoofing
by: Feng, Mika, et al.
Published: (2026)

Automated Disease Diagnosis in Pumpkin Plants Using Advanced CNN Models
by: Khaldi, Aymane, et al.
Published: (2024)

Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
by: Fan, Qi, et al.
Published: (2025)

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
by: He, Weinan, et al.
Published: (2025)

Towards Generalizing to Unseen Domains with Few Labels
by: Galappaththige, Chamuditha Jayanga, et al.
Published: (2024)

Towards Multimodal Domain Generalization with Few Labels
by: Li, Hongzhao, et al.
Published: (2026)

FloraSyntropy-Net: Scalable Deep Learning with Novel FloraSyntropy Archive for Large-Scale Plant Disease Diagnosis
by: Khan, Saif Ur Rehman, et al.
Published: (2025)

Dense Vision Transformer Compression with Few Samples
by: Zhang, Hanxiao, et al.
Published: (2024)

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
by: Yu, Qinkai, et al.
Published: (2025)

Random Registers for Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2025)

Few-Shot Adaptation of Grounding DINO for Agricultural Domain
by: Singh, Rajhans, et al.
Published: (2025)

Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation
by: Maracani, Andrea, et al.
Published: (2024)

A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping
by: Chen, Jiajun, et al.
Published: (2025)

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
by: Duan, Yuxuan, et al.
Published: (2024)

Enabling Validation for Robust Few-Shot Recognition
by: Wang, Hanxin, et al.
Published: (2025)