:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Arima, Yuji, Kagiwada, Satoshi, Iyatomi, Hitoshi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2501.00734
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)

Robust Plant Disease Diagnosis with Few Target-Domain Samples
by: Nogami, Takafumi, et al.
Published: (2025)

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

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

SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers
by: Kawada, Takuro, 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)

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

Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection
by: Xiao, Haibo, et al.
Published: (2026)

ADHint: Adaptive Hints with Difficulty Priors for Reinforcement Learning
by: Zhang, Feng, et al.
Published: (2025)

SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator
by: Takida, Yuhta, et al.
Published: (2025)

Denoising Task Difficulty-based Curriculum for Training Diffusion Models
by: Kim, Jin-Young, et al.
Published: (2024)

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
by: Luo, Yiqin, et al.
Published: (2024)

Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes
by: Marks, Jacob, et al.
Published: (2024)

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
by: Zheng, Kaiwen, et al.
Published: (2025)

Adaptive Discriminative Regularization for Visual Classification
by: Zhao, Qingsong, et al.
Published: (2022)

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation
by: Kurian, Nikhil Cherian, et al.
Published: (2026)

Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer
by: Nagamori, Teru, et al.
Published: (2024)

Discriminant Learning-based Colorspace for Blade Segmentation
by: Pérez-Gonzalo, Raül, et al.
Published: (2026)

Toward Understanding Unlearning Difficulty: A Mechanistic Perspective and Circuit-Guided Difficulty Metric
by: Cheng, Jiali, et al.
Published: (2026)

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation
by: Qiang, Wenwen, et al.
Published: (2025)

Deep Image Segmentation via Discriminant Feature Learning
by: Sztamborski, Adam Dawid, et al.
Published: (2026)

Probabilistic Deep Discriminant Analysis for Wind Blade Segmentation
by: Pérez-Gonzalo, Raül, et al.
Published: (2026)

Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
by: Luo, You-Wei, et al.
Published: (2024)

RURA-Net: A general disease diagnosis method based on Zero-Shot Learning
by: Su, Yan, et al.
Published: (2025)

Discriminative Entropy Clustering and its Relation to K-means and SVM
by: Zhang, Zhongwen, et al.
Published: (2023)

Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
by: Taraday, Mitchell Keren, et al.
Published: (2025)

Deep Positive-Negative Prototypes for Adversarially Robust Discriminative Prototypical Learning
by: Sabzevar, Ramin Zarei, et al.
Published: (2025)

Generative Diffusion Augmentation with Quantum-Enhanced Discrimination for Medical Image Diagnosis
by: Xia, Jingsong, et al.
Published: (2026)

Insights into Closed-form IPM-GAN Discriminator Guidance for Diffusion Modeling
by: Srikanth, Aadithya, et al.
Published: (2023)

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
by: Xu, Jie, et al.
Published: (2021)

A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
by: Ntelemis, Foivos, et al.
Published: (2022)

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
by: Bhalla, Usha, et al.
Published: (2023)

Robust Principal Component Analysis via Discriminant Sample Weight Learning
by: Deng, Yingzhuo, et al.
Published: (2024)

Neural Radiance Field Image Refinement through End-to-End Sampling Point Optimization
by: Ohta, Kazuhiro, et al.
Published: (2024)

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

A Deep Positive-Negative Prototype Approach to Integrated Prototypical Discriminative Learning
by: Zarei-Sabzevar, Ramin, et al.
Published: (2025)

Discriminative Span as a Predictor of Synthetic Data Utility via Classifier Reconstruction
by: Desai, Radhika Amar, et al.
Published: (2026)

Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
by: Alkhalefi, Mohammad, et al.
Published: (2023)

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling
by: Li, Mingzhuo, et al.
Published: (2025)