Cover Image

Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Françani, André O., Maximo, Marcos R. O. A.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Robotics 68T45 68T07
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
by: Françani, André O., et al.
Published: (2023)

Interactive Image Selection and Training for Brain Tumor Segmentation Network
by: Cerqueira, Matheus A., et al.
Published: (2024)

EatGAN: An Edge-Attention Guided Generative Adversarial Network for Single Image Super-Resolution
by: Rao, Penghao, et al.
Published: (2025)

Performance Decay in Deepfake Detection: The Limitations of Training on Outdated Data
by: Richings, Jack, et al.
Published: (2025)

How Well Do Vision-Language Models Understand Sequential Driving Scenes? A Sensitivity Study
by: Brusnicki, Roberto, et al.
Published: (2026)

Depth Priors in Removal Neural Radiance Fields
by: Guo, Zhihao, et al.
Published: (2024)

Z-Order Transformer for Feed-Forward Gaussian Splatting
by: Wang, Can, et al.
Published: (2026)

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models
by: Rakib, Mazharul Islam, et al.
Published: (2025)

Isolated Sign Language Recognition with Segmentation and Pose Estimation
by: Perkins, Daniel, et al.
Published: (2025)

Poisson Flow Consistency Training
by: Zhang, Anthony, et al.
Published: (2025)

Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection
by: Cerqueira, Matheus A., et al.
Published: (2024)

CNNtention: Can CNNs do better with Attention?
by: Kapila, Nikhil, et al.
Published: (2024)

Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
by: Zheng, Xiaoji, et al.
Published: (2024)

RailSafeNet: Visual Scene Understanding for Tram Safety
by: Valach, Ondřej, et al.
Published: (2025)

Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
by: Baharoon, Mohammed, et al.
Published: (2024)

Hybrid SIFT-SNN for Efficient Anomaly Detection of Traffic Flow-Control Infrastructure
by: Rathee, Munish, et al.
Published: (2025)

Computational Imaging Priors for Wireless Capsule Endoscopy: Monte Carlo-Guided Hemoglobin Mapping for Rare-Anomaly Detection
by: Yang, Chengshuai, et al.
Published: (2026)

Multimodal Integration Challenges in Emotionally Expressive Child Avatars for Training Applications
by: Salehi, Pegah, et al.
Published: (2025)

LRVS-Fashion: Extending Visual Search with Referring Instructions
by: Lepage, Simon, et al.
Published: (2023)

DOD-SA: Infrared-Visible Decoupled Object Detection with Single-Modality Annotations
by: Jin, Hang, et al.
Published: (2025)

Black-box Adversarial Attacks on CNN-based SLAM Algorithms
by: Gkeka, Maria Rafaela, et al.
Published: (2025)

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
by: Livieris, Ioannis E., et al.
Published: (2023)

ResPlan: A Large-Scale Vector-Graph Dataset of 17,000 Residential Floor Plans
by: Abouagour, Mohamed, et al.
Published: (2025)

Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic Environments
by: Peng, Yuhang, et al.
Published: (2025)

MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion
by: Tu, Shuyuan, et al.
Published: (2024)

A Physics-Inspired Deep Learning Framework with Polar Coordinate Attention for Ptychographic Imaging
by: Yue, Han, et al.
Published: (2024)

Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
by: Buyukcakir, Barkin, et al.
Published: (2025)

MambaNetLK: Enhancing Colonoscopy Point Cloud Registration with Mamba
by: Jiang, Linzhe, et al.
Published: (2025)

E Pluribus Unum Interpretable Convolutional Neural Networks
by: Dimas, George, et al.
Published: (2022)

Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
by: Nguyen, Thinh, et al.
Published: (2024)

HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models
by: Zhang, Shengkai, et al.
Published: (2024)

Memory-augmented Online Video Anomaly Detection
by: Rossi, Leonardo, et al.
Published: (2023)

Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection
by: Liu, Zihan, et al.
Published: (2025)

MedAD-R1: Eliciting Consistent Reasoning in Interpretible Medical Anomaly Detection via Consistency-Reinforced Policy Optimization
by: Zhang, Haitao, et al.
Published: (2026)

MB-DSMIL-CL-PL: Scalable Weakly Supervised Ovarian Cancer Subtype Classification and Localisation Using Contrastive and Prototype Learning with Frozen Patch Features
by: Jenkins, Marcus, et al.
Published: (2026)

LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
by: Yoon, Kihyuk, et al.
Published: (2023)

OptiRoulette Optimizer: A New Stochastic Meta-Optimizer for up to 5.3x Faster Convergence
by: Mastromichalakis, Stamatis
Published: (2026)

MvBody: Multi-View-Based Hybrid Transformer Using Optical 3D Body Scan for Explainable Cesarean Section Prediction
by: Cheng, Ruting, et al.
Published: (2025)

Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation
by: Lu, Renhao
Published: (2025)

GSO-SLAM: Bidirectionally Coupled Gaussian Splatting and Direct Visual Odometry
by: Yeon, Jiung, et al.
Published: (2026)