Cover Image

Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mazouz, Alaa, Chaudhuri, Sumanta, Cagnanzzo, Marco, Mitrea, Mihai, Tartaglione, Enzo, Fiandrotti, Attilio
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Security and Real-time FPGA integration for Learned Image Compression
by: Mazouz, Alaa, et al.
Published: (2025)

Efficient Learned Image Compression Through Knowledge Distillation
by: Allemand, Fabien, et al.
Published: (2025)

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

Domain Adaptation for Learned Image Compression with Supervised Adapters
by: Presta, Alberto, et al.
Published: (2024)

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

WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking
by: Trias, Carl De Sousa, et al.
Published: (2024)

GABIC: Graph-based Attention Block for Image Compression
by: Spadaro, Gabriele, 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)

Nix and Fix: Targeting 1000x Compression of 3D Gaussian Splatting with Diffusion Models
by: Eteke, Cem, et al.
Published: (2026)

AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data
by: Zaffaroni, Mirko, et al.
Published: (2024)

GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression
by: Di Sario, Francesco, et al.
Published: (2025)

Neural Velocity for hyperparameter tuning
by: Dalmasso, Gianluca, et al.
Published: (2025)

Capsule Networks Do Not Need to Model Everything
by: Renzulli, Riccardo, et al.
Published: (2022)

Unsupervised Learning of Unbiased Visual Representations
by: Barbano, Carlo Alberto, et al.
Published: (2022)

Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning
by: Ali, Muhammad Salman, et al.
Published: (2024)

Activation Map Compression through Tensor Decomposition for Deep Learning
by: Nguyen, Le-Trung, et al.
Published: (2024)

Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
by: Di Sario, Francesco, et al.
Published: (2024)

An FPGA Compiler for On-the-Fly Adaptive CNN Deployment and Reconfiguration
by: Mazouz, Alaa, et al.
Published: (2025)

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories
by: Vivekanandan, Abhishek, et al.
Published: (2025)

ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization
by: Cao, Hao, et al.
Published: (2026)

Enhancing Plasticity for First Session Adaptation Continual Learning
by: Marouf, Imad Eddine, et al.
Published: (2023)

ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splatting
by: Ali, Muhammad Salman, et al.
Published: (2024)

Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space Applications
by: Olivi, Leonardo, et al.
Published: (2025)

Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models
by: Patrício, Cristiano, et al.
Published: (2024)

Character Recognition in Byzantine Seals with Deep Neural Networks
by: Rageau, Théophile, et al.
Published: (2024)

Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization Layers
by: Liao, Zhu, et al.
Published: (2024)

Vector-Quantized Soft Label Compression for Dataset Distillation
by: Abbasi, Ali, et al.
Published: (2026)

Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddings
by: Grashei, Christian, et al.
Published: (2025)

Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection
by: Ciprian-Mihai, Ceausescu, et al.
Published: (2026)

Improving Lightweight Weed Detection via Knowledge Distillation
by: Saltık, Ahmet Oğuz, et al.
Published: (2025)

Periocular Embedding Learning with Consistent Knowledge Distillation from Face
by: Jung, Yoon Gyo, et al.
Published: (2020)

ATMS-KD: Adaptive Temperature and Mixed Sample Knowledge Distillation for a Lightweight Residual CNN in Agricultural Embedded Systems
by: Ohamouddou, Mohamed, et al.
Published: (2025)

A Multi-Stage Optimization Framework for Deploying Learned Image Compression on FPGAs
by: Fang, Jiaxun, et al.
Published: (2025)

Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT
by: Asfour, Alaa, et al.
Published: (2026)

Decoder-Free Distillation for Quantized Image Restoration
by: Sharif, S. M. A., et al.
Published: (2026)

Data-Augmented Quantization-Aware Knowledge Distillation
by: Kur, Justin, et al.
Published: (2025)

Hybrid Data-Free Knowledge Distillation
by: Tang, Jialiang, et al.
Published: (2024)

UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation
by: Yang, Runzhao, et al.
Published: (2024)

Flow Augmentation and Knowledge Distillation for Lightweight Face Presentation Attack Detection
by: Jabbar, Muhammad Shahid, et al.
Published: (2026)