28 citations · 63 across the 7 of their papers we have counts for
4 papers · 1 filter
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification
Hyungtae Lee, Sungmin Eum, Heesung Kwon
A pretrain-finetune strategy is widely used to reduce the overfitting that can occur when data is insufficient for CNN training. First few layers of a CNN pretrained on a large-sca…
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors
Hyungtae Lee, Heesung Kwon
In this paper, we propose a novel and highly practical score-level fusion approach called dynamic belief fusion (DBF) that directly integrates inference scores of individual detect…
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation
Hyungtae Lee, Heesung Kwon
Recently, self-supervised learning has attracted attention due to its remarkable ability to acquire meaningful representations for classification tasks without using semantic label…
Validation of object detection in UAV-based images using synthetic data
Eung-Joo Lee, Damon M. Conover, Shuvra S. Bhattacharyyaa +3
Object detection is increasingly used onboard Unmanned Aerial Vehicles (UAV) for various applications; however, the machine learning (ML) models for UAV-based detection are often v…