Search Results for author:
Found 9 papers, 2 papers with code
Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification
Due to the lack of patch-level labels, multiple instance learning (MIL) is a common practice for training a WSI classifier.
Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models
Large-scale image generation models, with impressive quality made possible by the vast amount of data available on the Internet, raise social concerns that these models may generate harmful or copyrighted content.
Machine-Learning-Based Classification of GPS Signal Reception Conditions Using a Dual-Polarized Antenna in Urban Areas
Consequently, when the testing dataset was collected at different locations from the training dataset, a classification accuracy of 64. 47% was obtained, which was slightly higher than the accuracy of the existing method using dual single-polarized antennas.
Relational Context Learning for Human-Object Interaction Detection
Recent state-of-the-art methods for HOI detection typically build on transformer architectures with two decoder branches, one for human-object pair detection and the other for interaction classification.
Ranked #2 on
Human-Object Interaction Detection
on V-COCO
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
The edge selection module selects relevant object pairs, i. e., edges in the scene graph, which helps contextual reasoning, and the quad attention module then updates the edge features using both edge-to-node and edge-to-edge cross-attentions to capture contextual information between objects and object pairs.
Machine Learning-Based GPS Multipath Detection Method Using Dual Antennas
In this study, we proposed a machine learning approach for global positioning system (GPS) multipath detection that uses dual antennas.
GPS Multipath Detection Based on Carrier-to-Noise-Density Ratio Measurements from a Dual-Polarized Antenna
In this study, the global positioning system (GPS) multipath detection was performed based on the carrier-to-noise-density ratio, C/N0, measured through a dual-polarized antenna.
Enhanced Accuracy Simulator for a Future Korean Nationwide eLoran System
Once its operational performance is determined to be satisfactory, South Korea plans to move to the second phase of the program, which is a nationwide eLoran system.
Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles
In this study, we applied reinforcement learning based on the proximal policy optimization algorithm to perform motion planning for an unmanned aerial vehicle (UAV) in an open space with static obstacles.
