:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bahavan, Nadarasar, Seneviratne, Sachith, Halgamuge, Saman
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2503.08049
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Deepfake vs Real: Facial Deepfake Detection in the Open-Set Paradigm
by: Bahavan, Nadarasar, et al.
Published: (2025)

Parameter-efficient Prompt Tuning and Hierarchical Textual Guidance for Few-shot Whole Slide Image Classification
by: Bogahawatte, Jayanie, et al.
Published: (2026)

TT-MPD: Test Time Model Pruning and Distillation
by: Wu, Haihang, et al.
Published: (2024)

MSRAMIE: Multimodal Structured Reasoning Agent for Multi-instruction Image Editing
by: Qiu, Zhaoyuan, 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)

AniFaceDiff: Animating Stylized Avatars via Parametric Conditioned Diffusion Models
by: Chen, Ken, et al.
Published: (2024)

Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning
by: Bogahawatte, Jayanie, et al.
Published: (2024)

Extending global-local view alignment for self-supervised learning with remote sensing imagery
by: Wanyan, Xinye, et al.
Published: (2023)

Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition
by: Yang, Runqing, et al.
Published: (2025)

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
by: Perera, Maneesha, et al.
Published: (2024)

Classifying the Unknown: In-Context Learning for Open-Vocabulary Text and Symbol Recognition
by: Simon, Tom, et al.
Published: (2025)

Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition
by: Zhang, Zhenyu, et al.
Published: (2024)

From Specification to Architecture: A Theory Compiler for Knowledge-Guided Machine Learning
by: Hevapathige, Asela, et al.
Published: (2026)

Flood-LDM: Generalizable Latent Diffusion Models for rapid and accurate zero-shot High-Resolution Flood Mapping
by: Neo, Sun Han, et al.
Published: (2025)

Open-Set Vein Biometric Recognition with Deep Metric Learning
by: Pilarek, Paweł, et al.
Published: (2026)

A survey on Graph Deep Representation Learning for Facial Expression Recognition
by: Gueuret, Théo, et al.
Published: (2024)

AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning
by: Qiu, Di, et al.
Published: (2024)

MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning
by: Avanaki, Nasim Jamshidi, et al.
Published: (2024)

O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out
by: Yavuz, Mısra, et al.
Published: (2024)

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
by: Liu, Chun, et al.
Published: (2025)

QwenSafe: Multimodal Content Rating Description Identification via Preference-Aligned VLMs
by: Denipitiyage, Dishanika, et al.
Published: (2026)

GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks
by: Ranasinghe, Nisal, et al.
Published: (2024)

Bridging Topology and Deep Representation Learning: A TDA-ViT Fusion Model for Four-Class Brain Tumor Classification
by: Ahmed, Faisal
Published: (2026)

Fusing Spectral Correlation Density Imaging with Deep Learning for Intelligent Fault Diagnosis in Rotating Machinery
by: Herath, Dilshara, et al.
Published: (2025)

Cascading Unknown Detection with Known Classification for Open Set Recognition
by: Brignac, Daniel, et al.
Published: (2024)

Continual Segmentation with Disentangled Objectness Learning and Class Recognition
by: Gong, Yizheng, et al.
Published: (2024)

Boosting Open Set Recognition Performance through Modulated Representation Learning
by: Kundu, Amit Kumar, et al.
Published: (2025)

Exploring Diverse Representations for Open Set Recognition
by: Wang, Yu, et al.
Published: (2024)

Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision-Language Models
by: Li, Yongguang, et al.
Published: (2025)

Open-Set Object Detection By Aligning Known Class Representations
by: Sarkar, Hiran, et al.
Published: (2024)

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
by: Wang, Leyuan, et al.
Published: (2024)

Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition
by: Huo, Jiahao, et al.
Published: (2025)

Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation
by: Park, Jaewoo, et al.
Published: (2022)

OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
by: Yin, Xu, et al.
Published: (2024)

Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
by: Pan, Linchao, et al.
Published: (2025)

Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)

Towards Open-Set Myoelectric Gesture Recognition via Dual-Perspective Inconsistency Learning
by: Liu, Chen, et al.
Published: (2024)

Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
by: Zong, Chen-Chen, et al.
Published: (2026)

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

A Compact Deep Architecture for Real-time Saliency Prediction
by: Zabihi, Saman, et al.
Published: (2020)