Copertina

Harnessing Self-Supervised Features for Art Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Melis, Federico, Bilardello, Davide, Prato, Emanuele, Turri, Evelyn, Baraldi, Lorenzo
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Multimedia
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Tiny Inference-Time Scaling with Latent Verifiers
di: Bucciarelli, Davide, et al.
Pubblicazione: (2026)

Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers
di: Turri, Evelyn, et al.
Pubblicazione: (2026)

RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models
di: Mattioli, Gabriele, et al.
Pubblicazione: (2026)

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
di: Baraldi, Lorenzo, et al.
Pubblicazione: (2024)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
di: Baraldi, Lorenzo, et al.
Pubblicazione: (2025)

Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
di: Baraldi, Lorenzo, et al.
Pubblicazione: (2023)

Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models
di: Caffagni, Davide, et al.
Pubblicazione: (2025)

The Revolution of Multimodal Large Language Models: A Survey
di: Caffagni, Davide, et al.
Pubblicazione: (2024)

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
di: Cocchi, Federico, et al.
Pubblicazione: (2024)

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
di: Amoroso, Roberto, et al.
Pubblicazione: (2023)

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning
di: Cocchi, Federico, et al.
Pubblicazione: (2025)

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
di: Caffagni, Davide, et al.
Pubblicazione: (2024)

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
di: Caffagni, Davide, et al.
Pubblicazione: (2025)

Recurrence Meets Transformers for Universal Multimodal Retrieval
di: Caffagni, Davide, et al.
Pubblicazione: (2025)

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization
di: Moratelli, Nicholas, et al.
Pubblicazione: (2024)

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis
di: Bucciarelli, Davide, et al.
Pubblicazione: (2024)

ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering
di: Compagnoni, Alberto, et al.
Pubblicazione: (2025)

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
di: Compagnoni, Alberto, et al.
Pubblicazione: (2025)

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
di: Poppi, Samuele, et al.
Pubblicazione: (2023)

BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues
di: Sarto, Sara, et al.
Pubblicazione: (2024)

Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR
di: Zhang, Yulong, et al.
Pubblicazione: (2025)

Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training
di: Sarto, Sara, et al.
Pubblicazione: (2024)

Towards Retrieval-Augmented Architectures for Image Captioning
di: Sarto, Sara, et al.
Pubblicazione: (2024)

Causal Graphical Models for Vision-Language Compositional Understanding
di: Parascandolo, Fiorenzo, et al.
Pubblicazione: (2024)

Hyperbolic Safety-Aware Vision-Language Models
di: Poppi, Tobia, et al.
Pubblicazione: (2025)

Feature CAM: Interpretable AI in Image Classification
di: Clement, Frincy, et al.
Pubblicazione: (2024)

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention
di: Wang, Tianyi, et al.
Pubblicazione: (2025)

LLM-EvRep: Learning an LLM-Compatible Event Representation Using a Self-Supervised Framework
di: Yu, Zongyou, et al.
Pubblicazione: (2025)

EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision
di: Qu, Qiang, et al.
Pubblicazione: (2024)

Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework
di: Liu, Ke, et al.
Pubblicazione: (2026)

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
di: Yu, Hai-Tao, et al.
Pubblicazione: (2024)

CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models
di: Poppi, Tobia, et al.
Pubblicazione: (2026)

Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation
di: Sanguigni, Fulvio, et al.
Pubblicazione: (2025)

Robust Latent Representation Tuning for Image-text Classification
di: Sun, Hao, et al.
Pubblicazione: (2024)

LLM-based Fusion of Multi-modal Features for Commercial Memorability Prediction
di: Pramov, Aleksandar
Pubblicazione: (2025)

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
di: Huang, Wenjing, et al.
Pubblicazione: (2023)

HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
di: Ouyang, Shuyi, et al.
Pubblicazione: (2024)

Test-Time Self-Adaptive Conditioning for Stable Audio-Driven Talking-Head Generation
di: Zhang, Zhicheng, et al.
Pubblicazione: (2026)

Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillation
di: Huang, Feizhen, et al.
Pubblicazione: (2025)

GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting
di: Yao, Lei, et al.
Pubblicazione: (2025)