Cover Image

Fine-tuning can cripple your foundation model; preserving features may be the solution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mukhoti, Jishnu, Gal, Yarin, Torr, Philip H. S., Dokania, Puneet K.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
by: de Jorge, Pau, et al.
Published: (2024)

Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation
by: Eiras, Francisco, et al.
Published: (2023)

Random Representations Outperform Online Continually Learned Representations
by: Prabhu, Ameya, et al.
Published: (2024)

MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
by: Oksuz, Kemal, et al.
Published: (2023)

On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
by: Kuzucu, Selim, et al.
Published: (2024)

Fine-tuning vision foundation model for crack segmentation in civil infrastructures
by: Ge, Kang, et al.
Published: (2023)

MObI: Multimodal Object Inpainting Using Diffusion Models
by: Buburuzan, Alexandru, et al.
Published: (2025)

As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
by: Hu, Anjun, et al.
Published: (2024)

Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
by: Oksuz, Kemal, et al.
Published: (2025)

SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection
by: Kamtam, Devanish N., et al.
Published: (2025)

Gaussian See, Gaussian Do: Semantic 3D Motion Transfer from Multiview Video
by: Bekor, Yarin, et al.
Published: (2025)

Segmentation of Maya hieroglyphs through fine-tuned foundation models
by: Shivam, FNU, et al.
Published: (2024)

MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
by: Sepehri, Mohammad Shahab, et al.
Published: (2024)

FindingDory: A Benchmark to Evaluate Memory in Embodied Agents
by: Yadav, Karmesh, et al.
Published: (2025)

Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction
by: Guetarni, Bilel, et al.
Published: (2024)

You can monitor your hydration level using your smartphone camera
by: Alaslani, Rose, et al.
Published: (2024)

Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
by: Kabir, H M Dipu, et al.
Published: (2025)

Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models
by: Morelli, Fabian, et al.
Published: (2026)

Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
by: Neidlinger, Peter, et al.
Published: (2024)

A MATLAB tutorial on deep feature extraction combined with chemometrics for analytical applications
by: Mishra, Puneet, et al.
Published: (2025)

Coffee: Controllable Diffusion Fine-tuning
by: Zeng, Ziyao, et al.
Published: (2025)

Towards a vision foundation model for comprehensive assessment of Cardiac MRI
by: Jacob, Athira J, et al.
Published: (2024)

Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
by: Gupta, Gunshi, et al.
Published: (2025)

The Latency Wall: Benchmarking Off-the-Shelf Emotion Recognition for Real-Time Virtual Avatars
by: Benyamin, Yarin
Published: (2026)

MultiModal Fine-tuning with Synthetic Captions
by: Enomoto, Shohei, et al.
Published: (2026)

Semantic-aware Adversarial Fine-tuning for CLIP
by: Zhang, Jiacheng, et al.
Published: (2026)

Learning biologically relevant features in a pathology foundation model using sparse autoencoders
by: Le, Nhat Minh, et al.
Published: (2024)

Learning Camera Movement Control from Real-World Drone Videos
by: Hou, Yunzhong, et al.
Published: (2024)

Fine-Grained VLM Fine-tuning via Latent Hierarchical Adapter Learning
by: Zhao, Yumiao, et al.
Published: (2025)

Ecological mapping with geospatial foundation models
by: Mahlasi, Craig, et al.
Published: (2026)

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
by: Marti-Escofet, Francesc, et al.
Published: (2025)

Scene-Conditional 3D Object Stylization and Composition
by: Zhou, Jinghao, et al.
Published: (2023)

Influencer Backdoor Attack on Semantic Segmentation
by: Lan, Haoheng, et al.
Published: (2023)

An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models
by: Luo, Haochen, et al.
Published: (2024)

Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
by: Yuan, Jianhao, et al.
Published: (2022)

VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory
by: Li, Runjia, et al.
Published: (2025)

CytoFM: The first cytology foundation model
by: Ivezić, Vedrana, et al.
Published: (2025)

Ensemble learning of foundation models for precision oncology
by: Luo, Xiangde, et al.
Published: (2025)

Revisiting foundation models for cell instance segmentation
by: Archit, Anwai, et al.
Published: (2026)

Zero-Splat TeleAssist: A Zero-Shot Pose Estimation Framework for Semantic Teleoperation
by: Dokania, Srijan, et al.
Published: (2025)