:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Raatikainen, Lassi, Rahtu, Esa
Formato:	Preprint
Publicado:	2022
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2208.06175
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

PanDepth: Joint Panoptic Segmentation and Depth Completion
por: Lagos, Juan, et al.
Publicado: (2022)

Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision
por: Zhu, Lingyu, et al.
Publicado: (2022)

GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting
por: Cai, Dingding, et al.
Publicado: (2024)

Video Object Segmentation-Aware Audio Generation
por: Viertola, Ilpo, et al.
Publicado: (2025)

SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion
por: Lagos, Juan Pablo, et al.
Publicado: (2022)

Temporally Aligned Audio for Video with Autoregression
por: Viertola, Ilpo, et al.
Publicado: (2024)

3D Gaussian Splatting with Fisheye Images: Field of View Analysis and Depth-Based Initialization
por: Gunes, Ulas, et al.
Publicado: (2025)

UDGS-SLAM : UniDepth Assisted Gaussian Splatting for Monocular SLAM
por: Mansour, Mostafa, et al.
Publicado: (2024)

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
por: Turkulainen, Matias, et al.
Publicado: (2024)

FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking
por: Gunes, Ulas, et al.
Publicado: (2025)

HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry
por: Seiskari, Otto, et al.
Publicado: (2021)

MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis
por: Ren, Xuqian, et al.
Publicado: (2023)

Synchformer: Efficient Synchronization from Sparse Cues
por: Iashin, Vladimir, et al.
Publicado: (2024)

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones
por: Ren, Xuqian, et al.
Publicado: (2024)

Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion
por: Seiskari, Otto, et al.
Publicado: (2024)

NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines
por: Ahonen, Jukka I., et al.
Publicado: (2024)

Bridging the gap between image coding for machines and humans
por: Le, Nam, et al.
Publicado: (2024)

A Meaningful Perturbation Metric for Evaluating Explainability Methods
por: Cohen, Danielle, et al.
Publicado: (2025)

Exploring Instruction Data Quality for Explainable Image Quality Assessment
por: Li, Yunhao, et al.
Publicado: (2025)

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
por: Klein, Lukas, et al.
Publicado: (2024)

Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
por: Tsigos, Konstantinos, et al.
Publicado: (2024)

VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance
por: Taesiri, Mohammad Reza, et al.
Publicado: (2025)

Explainable Light-Weight Deep Learning Pipeline for Improved Drought Stress Identification
por: Patra, Aswini Kumar, et al.
Publicado: (2024)

The Path to Reconciling Quality and Safety in Text-to-Image Generation: Dataset, Method, and Evaluation
por: Ruan, Shouwei, et al.
Publicado: (2025)

ExIQA: Explainable Image Quality Assessment Using Distortion Attributes
por: Ranjbar, Sepehr Kazemi, et al.
Publicado: (2024)

Towards Explainable Partial-AIGC Image Quality Assessment
por: Qian, Jiaying, et al.
Publicado: (2025)

Evaluating the Explainability of Vision Transformers in Medical Imaging
por: Barekatain, Leili, et al.
Publicado: (2025)

Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methods
por: Gross, Dennis, et al.
Publicado: (2024)

VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning
por: Cao, Linhan, et al.
Publicado: (2025)

A Quantitative Evaluation Framework for Explainable AI in Semantic Segmentation
por: Hammoud, Reem, et al.
Publicado: (2025)

Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model
por: Gallée, Luisa, et al.
Publicado: (2024)

ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods
por: Hogea, Eduard, et al.
Publicado: (2024)

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
por: Bousselham, Walid, et al.
Publicado: (2024)

Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers
por: Paccotacya-Yanque, Rosa Y. G., et al.
Publicado: (2024)

Adaptive Dual-Weighted Gravitational Point Cloud Denoising Method
por: Zhang, Ge, et al.
Publicado: (2025)

ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
por: Nguyen, Loc Phuc Truong, et al.
Publicado: (2025)

Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds
por: Ruoppa, Lassi, et al.
Publicado: (2025)

Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment
por: Cambrin, Daniele Rege, et al.
Publicado: (2024)

InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features
por: Xue, Mingfu, et al.
Publicado: (2022)

DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification
por: Saifullah, Saifullah, et al.
Publicado: (2024)