Cover Image

SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Bac, Uhlich, Stefan, Cardinaux, Fabien, Mauch, Lukas, Edraki, Marzieh, Courville, Aaron
Format:	Preprint
Published:	2024
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

A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models
by: Bensaid, Reda, et al.
Published: (2024)

LLM meets Vision-Language Models for Zero-Shot One-Class Classification
by: Bendou, Yassir, et al.
Published: (2024)

SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision
by: Vani, Ankit, et al.
Published: (2024)

Towards Robust FastSpeech 2 by Modelling Residual Multimodality
by: Kögel, Fabian, et al.
Published: (2023)

QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery
by: Nguyen, Xuan-Bac, et al.
Published: (2026)

How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
by: Ming, Yifei, et al.
Published: (2023)

Towards Few-shot Out-of-Distribution Detection
by: Dong, Jiuqing, et al.
Published: (2023)

The Intricate Dance of Prompt Complexity, Quality, Diversity, and Consistency in T2I Models
by: Xiaofeng, Zhang, et al.
Published: (2025)

Logit Mixture Outlier Exposure for Fine-grained Out-of-Distribution Detection
by: Shinohara, Akito, et al.
Published: (2025)

Fine-Tuned Vision Transformers Capture Complex Wheat Spike Morphology for Volume Estimation from RGB Images
by: Zumsteg, Olivia, et al.
Published: (2025)

Phase Matching for Out-of-Distribution Generalization
by: Hu, Chengming, et al.
Published: (2023)

Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation
by: MaungMaung, AprilPyone, et al.
Published: (2024)

SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
by: Stotko, David, et al.
Published: (2025)

Bias Analysis in Unconditional Image Generative Models
by: Zhang, Xiaofeng, et al.
Published: (2025)

Generating Out-Of-Distribution Scenarios Using Language Models
by: Aasi, Erfan, et al.
Published: (2024)

Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)

Sparse Fine-Tuning of Transformers for Generative Tasks
by: Chen, Wei, et al.
Published: (2025)

Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Zhu, Wenjie, et al.
Published: (2025)

Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models
by: Lavoie, Samuel, et al.
Published: (2025)

A Unified Approach Towards Active Learning and Out-of-Distribution Detection
by: Schmidt, Sebastian, et al.
Published: (2024)

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
by: Qi, Zhuang, et al.
Published: (2025)

Activation Subspaces for Out-of-Distribution Detection
by: Zöngür, Barış, et al.
Published: (2025)

IP-Adapter Is All You Need: Towards Fine-Tuning-Free Diffusion-Based Talking Face Generation
by: Wu, Hao, et al.
Published: (2026)

EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation
by: Tan, Xiaofeng, et al.
Published: (2026)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
by: Garg, Arpit, et al.
Published: (2025)

Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning
by: Liu, Jian, et al.
Published: (2025)

A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
by: Serna-Aguilera, Manuel, et al.
Published: (2024)

ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning
by: Van Vo, Tuan, et al.
Published: (2026)

COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
by: Liao, Jingyi, et al.
Published: (2024)

Federated Out-of-Distribution Generalization: A Causal Augmentation View
by: Zhang, Runhui, et al.
Published: (2025)

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
by: Miao, Wenjun, et al.
Published: (2024)

Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation
by: Chung, Jiwoo, et al.
Published: (2025)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
by: Zhou, Zhi, et al.
Published: (2024)

Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models via fMRI
by: Nguyen, Xuan-Bac, et al.
Published: (2023)

Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging
by: Pei, Haoran, et al.
Published: (2025)

T2MBench: A Benchmark for Out-of-Distribution Text-to-Motion Generation
by: Yang, Bin, et al.
Published: (2026)

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
by: Isaac-Medina, Brian K. S., et al.
Published: (2025)

Toward a Realistic Benchmark for Out-of-Distribution Detection
by: Recalcati, Pietro, et al.
Published: (2024)

Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
by: Nguyen, Hoang-Quan, et al.
Published: (2023)

Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
by: Truong, Thanh-Dat, et al.
Published: (2025)