On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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6 results for “360-degree”

Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videoscs.CV

Deep learning predicts VR head movements for better 360-degree videos.

problem Predicting head movements in 360-degree VR videos.

method Deep learning network using position data and video content for long-term prediction.

result 16.1% improvement in prediction accuracy compared to baseline.

VR 360-degree Personalized Deep learning Head movement

2020-03-01abs ↗pdf ↗

Superpixel Image Classification with Graph Attention Networkscs.LG

Graph Attention Networks improve image classification with superpixels.

problem Classifying images with irregular shapes and edges.

method Transform images into superpixel graphs, then apply GATs.

result GATs outperform other GNN models in image classification.

Graph Neural Networks Superpixels Image Classification Graph Attention 360-Degree Views

2020-02-13abs ↗pdf ↗

A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolutioncs.CV

Paper proposes SMFN for high-res spherical video super-resolution.

problem Super-resolution of 360-degree panoramic videos is expensive and challenging.

method Deformable convolutions, mixed attention mechanism, dual learning strategy, weighted mean square error loss function.

result The proposed SMFN method improves super-resolution of equatorial regions in 360-degree videos.

360-degree video super-resolution spherical video panorama motion compensation

2020-08-24abs ↗pdf ↗

Revisiting Deep Architectures for Head Motion Prediction in 360° Videoscs.CV

New deep architecture improves head motion prediction in 360° videos.

problem Predicting user head motion in 360-degree videos using past positions and video content.

method Re-examined existing deep-learning approaches, identified flaws, and designed a new TRACK architecture.

result TRACK achieves state-of-the-art performance, outperforming competitors by up to 20 percent.

head motion prediction 360-degree videos deep learning recurrent units structural-RNN

2019-11-26abs ↗pdf ↗

Explainable AI for Interpretable Credit Scoringq-fin.RM

Improved credit scoring model with explainability.

problem Making financial decisions based on loan applications.

method Extreme Gradient Boosting (XGBoost) model with 360-degree explanation framework.

result Model achieves state-of-the-art performance and provides understandable explanations.

credit scoring explainable AI interpretability Extreme Gradient Boosting 360-degree explanation

2020-12-03abs ↗pdf ↗

nuScenes: A multimodal dataset for autonomous drivingcs.LG

Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have driven development in computer vision tasks such as object detection, tracking and segmentation of agents in the environment. Most autonomous vehicles, however, carry a combinatio…

2019-03-26abs ↗pdf ↗