:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Imam, Raza, Huzaifa, Muhammad, Mansour, Nabil, Mirza, Shaher Bano, Lamghari, Fouad
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2402.07059
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models
by: Imam, Raza, et al.
Published: (2024)

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
by: Ha, Seokhyeon, et al.
Published: (2023)

EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval
by: Huzaifa, Muhammad, et al.
Published: (2024)

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

EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation
by: Nadeem, Maryam, et al.
Published: (2024)

Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift
by: Rahman, Umaima, et al.
Published: (2025)

Stride-Net: Fairness-Aware Disentangled Representation Learning for Chest X-Ray Diagnosis
by: Rashid, Darakshan, et al.
Published: (2026)

Generative AI for Vision: A Comprehensive Study of Frameworks and Applications
by: Bousetouane, Fouad
Published: (2025)

AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations
by: Alam, Mohammed Talha, et al.
Published: (2024)

FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging
by: Alam, Mohammed Talha, et al.
Published: (2024)

Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications
by: Trad, Fouad, et al.
Published: (2024)

Optimizing Domain-Specific Image Retrieval: A Benchmark of FAISS and Annoy with Fine-Tuned Features
by: Rahman, MD Shaikh, et al.
Published: (2024)

T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis
by: Imam, Raza, et al.
Published: (2025)

Comparison Visual Instruction Tuning
by: Lin, Wei, et al.
Published: (2024)

TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models
by: Weijler, Lisa, et al.
Published: (2024)

CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging
by: Imam, Raza, et al.
Published: (2024)

Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?
by: Rahman, Umaima, et al.
Published: (2024)

Towards Energy-Efficiency by Navigating the Trilemma of Energy, Latency, and Accuracy
by: Tian, Boyuan, et al.
Published: (2024)

CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
by: Amangeldi, Aidar, et al.
Published: (2025)

Fine-Tuning Cycle-GAN for Domain Adaptation of MRI Images
by: Usama, Mohd, et al.
Published: (2026)

Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets
by: Alam, Mohammed Talha, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
by: Liang, Dingkang, et al.
Published: (2024)

S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain
by: Zhang, Baoquan, et al.
Published: (2026)

MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
by: Maldonado, Gabriel, et al.
Published: (2025)

Noise is an Efficient Learner for Zero-Shot Vision-Language Models
by: Imam, Raza, et al.
Published: (2025)

Learning from Random Subspace Exploration: Generalized Test-Time Augmentation with Self-supervised Distillation
by: Jelea, Andrei, et al.
Published: (2025)

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
by: Zhu, Jingyuan, et al.
Published: (2023)

DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning
by: Kim, Dohoon, et al.
Published: (2025)

Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
by: Peleg, Amit, et al.
Published: (2025)

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion
by: Hansen, Jacob, et al.
Published: (2025)

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
by: Yan, Jiazhen, et al.
Published: (2025)

ABRA: Teleporting Fine-Tuned Knowledge Across Domains for Open-Vocabulary Object Detection
by: Bernardi, Mattia, et al.
Published: (2026)

Trade-offs in Cross-Domain Generalization of Foundation Model Fine-Tuned for Biometric Applications
by: Chettaoui, Tahar, et al.
Published: (2025)

DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection
by: Chen, Hongjia, et al.
Published: (2025)

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

DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
by: Kumar, Komal, et al.
Published: (2025)

FedeCouple: Fine-Grained Balancing of Global-Generalization and Local-Adaptability in Federated Learning
by: Yang, Ming, et al.
Published: (2025)

A Lightweight and Interpretable Deepfakes Detection Framework
by: Farooq, Muhammad Umar, et al.
Published: (2025)

3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation
by: Lee, Seonho, et al.
Published: (2025)

VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
by: Zhu, Liyun, et al.
Published: (2025)