Cover Image

Domain Adaptation for Learned Image Compression with Supervised Adapters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Presta, Alberto, Spadaro, Gabriele, Tartaglione, Enzo, Fiandrotti, Attilio, Grangetto, Marco
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GABIC: Graph-based Attention Block for Image Compression
by: Spadaro, Gabriele, et al.
Published: (2024)

STanH : Parametric Quantization for Variable Rate Learned Image Compression
by: Presta, Alberto, et al.
Published: (2024)

Efficient Progressive Image Compression with Variance-aware Masking
by: Presta, Alberto, et al.
Published: (2024)

WiGNet: Windowed Vision Graph Neural Network
by: Spadaro, Gabriele, et al.
Published: (2024)

Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates
by: Spadaro, Gabriele, et al.
Published: (2025)

Few-Shot Domain Adaptation for Learned Image Compression
by: Zhang, Tianyu, et al.
Published: (2024)

DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
by: Götz, Michael, et al.
Published: (2024)

Online Meta Adaptation for Variable-Rate Learned Image Compression
by: Jiang, Wei, et al.
Published: (2021)

Image Restoration Learning via Noisy Supervision in the Fourier Domain
by: Liu, Haosen, et al.
Published: (2025)

Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
by: Xing, Qunliang, et al.
Published: (2024)

ColonAdapter: Geometry Estimation Through Foundation Model Adaptation for Colonoscopy
by: Jiang, Zhiyi, et al.
Published: (2025)

Prediction and Reference Quality Adaptation for Learned Video Compression
by: Sheng, Xihua, et al.
Published: (2024)

Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
by: Huang, Shaoguang, et al.
Published: (2024)

Color Learning for Image Compression
by: Prativadibhayankaram, Srivatsa, et al.
Published: (2023)

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
by: Zou, Jingchen, et al.
Published: (2025)

Progressive Multi-Level Alignments for Semi-Supervised Domain Adaptation SAR Target Recognition Using Simulated Data
by: Zhang, Xinzheng, et al.
Published: (2024)

Learning from a Generative Oracle: Domain Adaptation for Restoration
by: Hu, Yuyang, et al.
Published: (2025)

Cross-domain Hyperspectral Image Classification based on Bi-directional Domain Adaptation
by: Zhang, Yuxiang, et al.
Published: (2025)

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation
by: Li, Ruiyi, et al.
Published: (2025)

Memory-Optimized Once-For-All Network
by: Girard, Maxime, et al.
Published: (2024)

Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
by: Lorenzana, Marlon Bran, et al.
Published: (2023)

FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image Restoration
by: Zhang, Ruicheng, et al.
Published: (2025)

Generalized Gaussian Model for Learned Image Compression
by: Zhang, Haotian, et al.
Published: (2024)

Progressive Learned Image Compression for Machine Perception
by: Kim, Jungwoo, et al.
Published: (2025)

Frequency-Aware Transformer for Learned Image Compression
by: Li, Han, et al.
Published: (2023)

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
by: Xie, Zhaozhi, et al.
Published: (2024)

M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
by: Shirokikh, Boris, et al.
Published: (2025)

Approximately Invertible Neural Network for Learned Image Compression
by: Gao, Yanbo, et al.
Published: (2024)

CALLIC: Content Adaptive Learning for Lossless Image Compression
by: Li, Daxin, et al.
Published: (2024)

Causal Context Adjustment Loss for Learned Image Compression
by: Han, Minghao, et al.
Published: (2024)

Sparse Point Clouds Assisted Learned Image Compression
by: Jiang, Yiheng, et al.
Published: (2024)

On Disentangled Training for Nonlinear Transform in Learned Image Compression
by: Li, Han, et al.
Published: (2025)

CMamba: Learned Image Compression with State Space Models
by: Wu, Zhuojie, et al.
Published: (2025)

Balanced Rate-Distortion Optimization in Learned Image Compression
by: Zhang, Yichi, et al.
Published: (2025)

Efficient Learned Image Compression without Entropy Coding
by: Cao, Hao, et al.
Published: (2026)

Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024)

Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation
by: Li, Anqi, et al.
Published: (2024)

Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
by: Li, Aobo, et al.
Published: (2024)

End-to-End Semantic Preservation in Text-Aware Image Compression Systems
by: Della Fiore, Stefano, et al.
Published: (2025)