Cover Image

DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Talemi, Niloufar Alipour, Kashiani, Hossein, Nowdeh, Hossein R., Afghah, Fatemeh
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models
by: Talemi, Niloufar Alipour, et al.
Published: (2024)

FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing
by: Kashiani, Hossein, et al.
Published: (2025)

ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift
by: Kashiani, Hossein, et al.
Published: (2024)

CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition
by: Talemi, Niloufar Alipour, et al.
Published: (2024)

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems
by: Talemi, Niloufar Alipour, et al.
Published: (2026)

PromptMAD: Cross-Modal Prompting for Multi-Class Visual Anomaly Localization
by: McCain, Duncan, et al.
Published: (2026)

Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
by: Nowdeh, Hossein R., et al.
Published: (2025)

DiSa: Saliency-Aware Foreground-Background Disentangled Framework for Open-Vocabulary Semantic Segmentation
by: Yao, Zhen, et al.
Published: (2026)

WildFireVQA: A Large-Scale Radiometric Thermal VQA Benchmark for Aerial Wildfire Monitoring
by: Habibpour, Mobin, et al.
Published: (2026)

FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning
by: Rajoli, Hossein, et al.
Published: (2024)

Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
by: Rajoli, Hossein, et al.
Published: (2024)

Layout-Independent License Plate Recognition via Integrated Vision and Language Models
by: Shabaninia, Elham, et al.
Published: (2025)

Generalizable Prompt Tuning for Vision-Language Models
by: Zhang, Qian
Published: (2024)

Calibration-Aware Prompt Learning for Medical Vision-Language Models
by: Basu, Abhishek, et al.
Published: (2025)

Diversity Covariance-Aware Prompt Learning for Vision-Language Models
by: Dong, Songlin, et al.
Published: (2025)

TS-VLM: Text-Guided SoftSort Pooling for Vision-Language Models in Multi-View Driving Reasoning
by: Chen, Lihong, et al.
Published: (2025)

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
by: Ding, Kun, et al.
Published: (2024)

3D Aware Region Prompted Vision Language Model
by: Cheng, An-Chieh, et al.
Published: (2025)

LOD1 3D City Model from LiDAR: The Impact of Segmentation Accuracy on Quality of Urban 3D Modeling and Morphology Extraction
by: Chajaei, Fatemeh, et al.
Published: (2025)

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
by: Fu, Hao, et al.
Published: (2025)

Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
by: Chen, Zhi, et al.
Published: (2025)

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
by: Nguyen, Duy M. H., et al.
Published: (2024)

Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone Networks
by: Briley, Austin, et al.
Published: (2024)

Active Prompt Learning in Vision Language Models
by: Bang, Jihwan, et al.
Published: (2023)

In the Era of Prompt Learning with Vision-Language Models
by: Jha, Ankit
Published: (2024)

Mixture of Prompt Learning for Vision Language Models
by: Du, Yu, et al.
Published: (2024)

GLAD: Generalizable Tuning for Vision-Language Models
by: Peng, Yuqi, et al.
Published: (2025)

Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models
by: Min, Juhong, et al.
Published: (2026)

Learning from Noisy Prompts: Saliency-Guided Prompt Distillation for Robust Segmentation with SAM
by: Kang, Jingxuan, et al.
Published: (2026)

Saliency-Aware Model Merging
by: Park, Jungin, et al.
Published: (2026)

Active Prompt Learning with Vision-Language Model Priors
by: Kim, Hoyoung, et al.
Published: (2024)

Integrated Structural Prompt Learning for Vision-Language Models
by: Wang, Jiahui, et al.
Published: (2025)

Modular Prompt Learning Improves Vision-Language Models
by: Huang, Zhenhan, et al.
Published: (2025)

Consistency-guided Prompt Learning for Vision-Language Models
by: Roy, Shuvendu, et al.
Published: (2023)

Cascade Prompt Learning for Vision-Language Model Adaptation
by: Wu, Ge, et al.
Published: (2024)

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
by: Imam, Raza, et al.
Published: (2025)

ConsensusDrop: Fusing Visual and Cross-Modal Saliency for Efficient Vision Language Models
by: Parikh, Dhruv, et al.
Published: (2026)

MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
by: Resani, Hossein, et al.
Published: (2024)

Recent Advances of Continual Learning in Computer Vision: An Overview
by: Qu, Haoxuan, et al.
Published: (2021)

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models
by: Lai, Yuxiang, et al.
Published: (2025)