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Found 17 papers, 10 papers with code
View-Consistent 3D Editing with Gaussian Splatting
The advent of 3D Gaussian Splatting (3DGS) has revolutionized 3D editing, offering efficient, high-fidelity rendering and enabling precise local manipulations.
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection
Our DPKE enriches the knowledge of limited training data, particularly unlabeled data, from two perspectives: data-perspective and feature-perspective.
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Existing fully-supervised point cloud segmentation methods suffer in the dynamic testing environment with emerging new classes.
Towards Robust Few-shot Point Cloud Semantic Segmentation
Few-shot point cloud semantic segmentation aims to train a model to quickly adapt to new unseen classes with only a handful of support set samples.
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Furthermore, we present a novel style hallucination module (SHM) to generate style-diversified samples that are essential to consistency learning.
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds
In addition, we augment the point patterns of the source data and introduce non-parametric multi-prototypes to ameliorate the intra-class variance enlarged by the augmented point patterns.
Myopia prediction for adolescents via time-aware deep learning
Result: The mean absolute prediction error on the testing set was 0. 273-0. 257 for spherical equivalent, ranging from 0. 189-0. 160 to 0. 596-0. 473 if we consider different lengths of historical records and different prediction durations.
Rethinking IoU-based Optimization for Single-stage 3D Object Detection
Since Intersection-over-Union (IoU) based optimization maintains the consistency of the final IoU prediction metric and losses, it has been widely used in both regression and classification branches of single-stage 2D object detectors.
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
Furthermore, we present a novel style hallucination module (SHM) to generate style-diversified samples that are essential to consistency learning.
Ranked #4 on
Robust Object Detection
on DWD
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
Deep learning-based approaches have shown remarkable performance in the 3D object detection task.
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph
This implies that URIR can effectively use knowledge graph to obtain better user codes and item codes, thereby obtaining better recommendation results.
Few-shot 3D Point Cloud Semantic Segmentation
These fully supervised approaches heavily rely on large amounts of labeled training data that are difficult to obtain and cannot segment new classes after training.
Few-shot 3D Point Cloud Semantic Segmentation
Segmentation
+1
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
The performance of existing point cloud-based 3D object detection methods heavily relies on large-scale high-quality 3D annotations.
MRI Reconstruction Using Deep Bayesian Estimation
Purpose: To develop a deep learning-based Bayesian inference for MRI reconstruction.
Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention
Heart disease is one of the most common diseases causing morbidity and mortality.
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
In this paper, we present the PS^2-Net -- a locally and globally aware deep learning framework for semantic segmentation on 3D scene-level point clouds.
Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks
The proposed method analyzed the time-frequency features of the electrocardiogram (ECG), thus being different to conventional AF detecting methods that implement isolating atrial or ventricular activities.
Ranked #2 on
Atrial Fibrillation Detection
on MIT-BIH AF
