Cover Image

DCSCR: A Class-Specific Collaborative Representation based Network for Image Set Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Xizhan, Hu, Wei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification
by: Lee, Hansang, et al.
Published: (2022)

Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
by: Wen, Zhen-Hao, et al.
Published: (2025)

ACIL: Active Class Incremental Learning for Image Classification
by: Bhattacharya, Aditya R., et al.
Published: (2026)

Addressing Imbalance for Class Incremental Learning in Medical Image Classification
by: Hao, Xuze, et al.
Published: (2024)

MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning
by: Yang, Pu, et al.
Published: (2025)

When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification
by: Pang, Zirui, et al.
Published: (2025)

Joint Imaging-ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification
by: Liang, Wei, et al.
Published: (2026)

GAFR-Net: A Graph Attention and Fuzzy-Rule Network for Interpretable Breast Cancer Image Classification
by: Gao, Lin-Guo, et al.
Published: (2026)

Adversarial Attack Against Images Classification based on Generative Adversarial Networks
by: Yang, Yahe
Published: (2024)

Enhanced Multi-Class Classification of Gastrointestinal Endoscopic Images with Interpretable Deep Learning Model
by: Kamble, Astitva, et al.
Published: (2025)

Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification
by: Seydi, Seyd Teymoor, et al.
Published: (2024)

Improving Interpretability and Accuracy in Neuro-Symbolic Rule Extraction Using Class-Specific Sparse Filters
by: Padalkar, Parth, et al.
Published: (2025)

SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation
by: Dong, Yixuan, et al.
Published: (2025)

Zero-Training Task-Specific Model Synthesis for Few-Shot Medical Image Classification
by: Qin, Yao, et al.
Published: (2025)

Open Set Recognition for Endoscopic Image Classification: A Deep Learning Approach on the Kvasir Dataset
by: Moazzami, Kasra, et al.
Published: (2025)

Towards Adaptive Open-Set Object Detection via Category-Level Collaboration Knowledge Mining
by: Ji, Yuqi, et al.
Published: (2026)

Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolution
by: Cajas, Sebastian, et al.
Published: (2026)

Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model
by: Tan, Jiantao, et al.
Published: (2025)

Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification
by: Liu, Chun, et al.
Published: (2024)

Optimized Learning for X-Ray Image Classification for Multi-Class Disease Diagnoses with Accelerated Computing Strategies
by: Romero, Sebastian A. Cruz, et al.
Published: (2024)

Robust Latent Representation Tuning for Image-text Classification
by: Sun, Hao, et al.
Published: (2024)

A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition
by: Zhang, Jinghua, et al.
Published: (2023)

MCANet: A Multi-Scale Class-Specific Attention Network for Multi-Label Post-Hurricane Damage Assessment using UAV Imagery
by: Liu, Zhangding, et al.
Published: (2025)

Enhanced Convolutional Neural Networks for Improved Image Classification
by: Yang, Xiaoran, et al.
Published: (2025)

Siamese Transformer Networks for Few-shot Image Classification
by: Jiang, Weihao, et al.
Published: (2024)

Deep Neural Networks Fused with Textures for Image Classification
by: Bera, Asish, et al.
Published: (2023)

Residual Feature-Reutilization Inception Network for Image Classification
by: He, Yuanpeng, et al.
Published: (2024)

A Transfer Learning Evaluation of Deep Neural Networks for Image Classification
by: Baker, Nermeen Abou, et al.
Published: (2026)

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings
by: He, Dongli, et al.
Published: (2025)

DCG ReID: Disentangling Collaboration and Guidance Fusion Representations for Multi-modal Vehicle Re-Identification
by: Zheng, Aihua, et al.
Published: (2026)

Multi-Class Unlearning for Image Classification via Weight Filtering
by: Poppi, Samuele, et al.
Published: (2023)

Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model
by: Prity, Farida Siddiqi, et al.
Published: (2025)

SpectralTrain: A Universal Framework for Hyperspectral Image Classification
by: Zhou, Meihua, et al.
Published: (2025)

Prediction Error-based Classification for Class-Incremental Learning
by: Zając, Michał, et al.
Published: (2023)

Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning
by: Lai, Yinyi, et al.
Published: (2024)

Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
by: Bao, Kexin, et al.
Published: (2026)

Hierarchical Vision Transformer Enhanced by Graph Convolutional Network for Image Classification
by: Jiao, Haibin
Published: (2026)

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
by: Li, Jiashuo, et al.
Published: (2024)

Covariance-based Space Regularization for Few-shot Class Incremental Learning
by: Hu, Yijie, et al.
Published: (2024)

Large-Scale Evaluation of Open-Set Image Classification Techniques
by: Bisgin, Halil, et al.
Published: (2024)