Copertina

InDistill: Information flow-preserving knowledge distillation for model compression

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sarridis, Ioannis, Koutlis, Christos, Kordopatis-Zilos, Giorgos, Kompatsiaris, Ioannis, Papadopoulos, Symeon
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
di: Sarridis, Ioannis, et al.
Pubblicazione: (2023)

BAdd: Bias Mitigation through Bias Addition
di: Sarridis, Ioannis, et al.
Pubblicazione: (2024)

VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation
di: Sarridis, Ioannis, et al.
Pubblicazione: (2025)

MAVias: Mitigate any Visual Bias
di: Sarridis, Ioannis, et al.
Pubblicazione: (2024)

FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations
di: Sarridis, Ioannis, et al.
Pubblicazione: (2024)

SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes
di: Baltsou, Georgia, et al.
Pubblicazione: (2024)

Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks
di: Baltsou, Georgia, et al.
Pubblicazione: (2025)

Fusion Transformer with Object Mask Guidance for Image Forgery Analysis
di: Karageorgiou, Dimitrios, et al.
Pubblicazione: (2024)

Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge
di: Violos, John, et al.
Pubblicazione: (2024)

AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization
di: Koutlis, Christos, et al.
Pubblicazione: (2025)

DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization
di: Koutlis, Christos, et al.
Pubblicazione: (2024)

Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
di: Koutlis, Christos, et al.
Pubblicazione: (2024)

IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
di: Karantaidis, George, et al.
Pubblicazione: (2024)

Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition
di: Karantaidis, George, et al.
Pubblicazione: (2025)

TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping
di: Konstantinidou, Despina, et al.
Pubblicazione: (2024)

AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
di: Suma, Pavel, et al.
Pubblicazione: (2024)

ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across Domains
di: Suma, Pavel, et al.
Pubblicazione: (2026)

Any-Resolution AI-Generated Image Detection by Spectral Learning
di: Karageorgiou, Dimitrios, et al.
Pubblicazione: (2024)

Instance-Level Generation for Representation Learning
di: Wu, Yankun, et al.
Pubblicazione: (2025)

Latent Reconstruction from Generated Data for Multimodal Misinformation Detection
di: Papadopoulos, Stefanos-Iordanis, et al.
Pubblicazione: (2025)

RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection
di: Papadopoulos, Stefanos-Iordanis, et al.
Pubblicazione: (2023)

Similarity over Factuality: Are we making progress on multimodal out-of-context misinformation detection?
di: Papadopoulos, Stefanos-Iordanis, et al.
Pubblicazione: (2024)

Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
di: Ramos, Ryan, et al.
Pubblicazione: (2025)

Indexing Multimodal Language Models for Large-scale Image Retrieval
di: Tharwat, Bahey, et al.
Pubblicazione: (2026)

Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure
di: Elobaid, Alaa, et al.
Pubblicazione: (2024)

Automated In-the-Wild Data Collection for Continual AI Generated Image Detection
di: Pantsios, Thanasis, et al.
Pubblicazione: (2026)

Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?
di: Konstantinidou, Despina, et al.
Pubblicazione: (2025)

LOCORE: Image Re-ranking with Long-Context Sequence Modeling
di: Xiao, Zilin, et al.
Pubblicazione: (2025)

Composite Data Augmentations for Synthetic Image Detection Against Real-World Perturbations
di: Amarantidou, Efthymia, et al.
Pubblicazione: (2025)

CycleCap: Improving VLMs Captioning Performance via Self-Supervised Cycle Consistency Fine-Tuning
di: Krestenitis, Marios, et al.
Pubblicazione: (2026)

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion
di: Petsangourakis, Giorgos, et al.
Pubblicazione: (2025)

ILIAS: Instance-Level Image retrieval At Scale
di: Kordopatis-Zilos, Giorgos, et al.
Pubblicazione: (2025)

HiddenObjects: Scalable Diffusion-Distilled Spatial Priors for Object Placement
di: Schouten, Marco, et al.
Pubblicazione: (2026)

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization
di: Giakoumoglou, Paschalis, et al.
Pubblicazione: (2026)

Improving Generalization in Deepfake Detection with Face Foundation Models and Metric Learning
di: Mylonas, Stelios, et al.
Pubblicazione: (2025)

Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model
di: Sarafis, Ioannis, et al.
Pubblicazione: (2025)

TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts
di: Prapas, Ioannis, et al.
Pubblicazione: (2025)

A CLIP-based siamese approach for meme classification
di: Huertas-Tato, Javier, et al.
Pubblicazione: (2024)

SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods
di: Schinas, Manos, et al.
Pubblicazione: (2024)

Thalia: A Global, Multi-Modal Dataset for Volcanic Activity Monitoring
di: Papadopoulos, Nikolas, et al.
Pubblicazione: (2025)