Image de couverture de livre

Spot the Difference: A Novel Task for Embodied Agents in Changing Environments

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Landi, Federico, Bigazzi, Roberto, Cornia, Marcella, Cascianelli, Silvia, Baraldi, Lorenzo, Cucchiara, Rita
Format:	Preprint
Publié:	2022
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Embodied Navigation at the Art Gallery
par: Bigazzi, Roberto, et autres
Publié: (2022)

Embodied Agents for Efficient Exploration and Smart Scene Description
par: Bigazzi, Roberto, et autres
Publié: (2023)

Explore and Explain: Self-supervised Navigation and Recounting
par: Bigazzi, Roberto, et autres
Publié: (2020)

Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
par: Barsellotti, Luca, et autres
Publié: (2024)

Mapping High-level Semantic Regions in Indoor Environments without Object Recognition
par: Bigazzi, Roberto, et autres
Publié: (2024)

AIGeN: An Adversarial Approach for Instruction Generation in VLN
par: Rawal, Niyati, et autres
Publié: (2024)

Fluent and Accurate Image Captioning with a Self-Trained Reward Model
par: Moratelli, Nicholas, et autres
Publié: (2024)

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
par: Barsellotti, Luca, et autres
Publié: (2024)

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
par: Baraldi, Lorenzo, et autres
Publié: (2024)

Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning
par: Bigazzi, Roberto
Publié: (2025)

Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
par: Baraldi, Lorenzo, et autres
Publié: (2023)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
par: Baraldi, Lorenzo, et autres
Publié: (2025)

BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues
par: Sarto, Sara, et autres
Publié: (2024)

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
par: Cocchi, Federico, et autres
Publié: (2024)

Tiny Inference-Time Scaling with Latent Verifiers
par: Bucciarelli, Davide, et autres
Publié: (2026)

Multi-Class Unlearning for Image Classification via Weight Filtering
par: Poppi, Samuele, et autres
Publié: (2023)

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
par: Caffagni, Davide, et autres
Publié: (2025)

Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training
par: Sarto, Sara, et autres
Publié: (2024)

Towards Retrieval-Augmented Architectures for Image Captioning
par: Sarto, Sara, et autres
Publié: (2024)

Recurrence Meets Transformers for Universal Multimodal Retrieval
par: Caffagni, Davide, et autres
Publié: (2025)

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization
par: Moratelli, Nicholas, et autres
Publié: (2024)

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis
par: Bucciarelli, Davide, et autres
Publié: (2024)

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
par: Poppi, Samuele, et autres
Publié: (2023)

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
par: Amoroso, Roberto, et autres
Publié: (2023)

RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models
par: Mattioli, Gabriele, et autres
Publié: (2026)

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
par: Compagnoni, Alberto, et autres
Publié: (2025)

UNMuTe: Unifying Navigation and Multimodal Dialogue-like Text Generation
par: Rawal, Niyati, et autres
Publié: (2024)

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning
par: Cocchi, Federico, et autres
Publié: (2025)

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
par: Caffagni, Davide, et autres
Publié: (2024)

Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives
par: Sarto, Sara, et autres
Publié: (2025)

Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection
par: Betti, Federico, et autres
Publié: (2024)

Hallucination Early Detection in Diffusion Models
par: Betti, Federico, et autres
Publié: (2026)

The Revolution of Multimodal Large Language Models: A Survey
par: Caffagni, Davide, et autres
Publié: (2024)

The Safety Challenge of World Models for Embodied AI Agents: A Review
par: Baraldi, Lorenzo, et autres
Publié: (2025)

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
par: Eddoubi, Hicham, et autres
Publié: (2025)

Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images
par: Cartella, Giuseppe, et autres
Publié: (2024)

ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering
par: Compagnoni, Alberto, et autres
Publié: (2025)

Binarizing Documents by Leveraging both Space and Frequency
par: Quattrini, Fabio, et autres
Publié: (2024)

Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas
par: Quattrini, Fabio, et autres
Publié: (2024)

GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution
par: D'Oronzio, Fabio, et autres
Publié: (2026)