Copertina

DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ali, Eman, Silva, Sathira, Khan, Muhammad Haris
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score
di: Ali, Eman, et al.
Pubblicazione: (2025)

microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification
di: Silva, Sathira, et al.
Pubblicazione: (2025)

Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models
di: Ali, Eman, et al.
Pubblicazione: (2023)

A Spatiotemporal Approach to Tri-Perspective Representation for 3D Semantic Occupancy Prediction
di: Silva, Sathira, et al.
Pubblicazione: (2024)

O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
di: Sharifdeen, Ashshak, et al.
Pubblicazione: (2025)

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

DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignment
di: Han, Jianhong, et al.
Pubblicazione: (2024)

Prototype-Based Test-Time Adaptation of Vision-Language Models
di: Huang, Zhaohong, et al.
Pubblicazione: (2026)

Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
di: Danish, Muhammad Sohail, et al.
Pubblicazione: (2024)

Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
di: Tourani, Siddharth, et al.
Pubblicazione: (2024)

Towards Calibrating Prompt Tuning of Vision-Language Models
di: Sharifdeen, Ashshak, et al.
Pubblicazione: (2026)

A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
di: Ahamed, Shihab Aaqil, et al.
Pubblicazione: (2025)

Robust and Label-Efficient Deep Waste Detection
di: Abid, Hassan, et al.
Pubblicazione: (2025)

Dual-Foundation Models for Unsupervised Domain Adaptation
di: Cheon, Yerin, et al.
Pubblicazione: (2026)

Unsupervised Deep Graph Matching Based on Cycle Consistency
di: Tourani, Siddharth, et al.
Pubblicazione: (2023)

Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation
di: Wang, Shanshan, et al.
Pubblicazione: (2024)

Dual Prototype Attention for Unsupervised Video Object Segmentation
di: Cho, Suhwan, et al.
Pubblicazione: (2022)

Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models
di: Qiao, Xiaozhen, et al.
Pubblicazione: (2025)

CountZES: Counting via Zero-Shot Exemplar Selection
di: Siddiqui, Muhammad Ibraheem, et al.
Pubblicazione: (2025)

Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models
di: Qiao, Xiaozhen, et al.
Pubblicazione: (2025)

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation
di: Englert, Brunó B., et al.
Pubblicazione: (2024)

Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
di: Zhang, Ce, et al.
Pubblicazione: (2024)

Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
di: Bai, Shuanghao, et al.
Pubblicazione: (2023)

GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks
di: Danish, Muhammad Sohail, et al.
Pubblicazione: (2024)

Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization
di: Khan, Adnan, et al.
Pubblicazione: (2024)

TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
di: Danish, Muhammad Sohail, et al.
Pubblicazione: (2025)

TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
di: Munir, Ans, et al.
Pubblicazione: (2025)

Compositional Zero-Shot Learning: A Survey
di: Munir, Ans, et al.
Pubblicazione: (2025)

Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
di: Chen, Haoran, et al.
Pubblicazione: (2022)

Unsupervised Domain Adaptation via Content Alignment for Hippocampus Segmentation
di: Kalabizadeh, Hoda, et al.
Pubblicazione: (2025)

Dynamic Multimodal Prototype Learning in Vision-Language Models
di: Zhu, Xingyu, et al.
Pubblicazione: (2025)

Subspace Alignment for Vision-Language Model Test-time Adaptation
di: Zeng, Zhichen, et al.
Pubblicazione: (2026)

Supervised Classification Heads as Semantic Prototypes: Unlocking Vision-Language Alignment via Weight Recycling
di: Méndez, David, et al.
Pubblicazione: (2026)

Unsupervised Part Discovery via Dual Representation Alignment
di: Xia, Jiahao, et al.
Pubblicazione: (2024)

FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
di: Gunduboina, Hariseetharam, et al.
Pubblicazione: (2025)

Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models
di: Khan, Md Azim, et al.
Pubblicazione: (2025)

Semi-Supervised Few-Shot Adaptation of Vision-Language Models
di: Silva-Rodríguez, Julio, et al.
Pubblicazione: (2026)

Temporal Prototyping and Hierarchical Alignment for Unsupervised Video-based Visible-Infrared Person Re-Identification
di: Li, Zhiyong, et al.
Pubblicazione: (2026)

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
di: Maaz, Muhammad, et al.
Pubblicazione: (2023)

Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation
di: Liang, Jian, et al.
Pubblicazione: (2024)