16 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
4 papers
CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble Fusion
Trinh Quoc Nguyen, Oky Dicky Ardiansyah Prima, Syahid Al Irfan +2
This study presents CORE-ReID V2, an enhanced framework building upon CORE-ReID. The new framework extends its predecessor by addressing Unsupervised Domain Adaptation (UDA) challe…
The object detection model uses combined extraction with KNN and RF classification
Florentina Tatrin Kurniati, Daniel HF Manongga, Irwan Sembiring +2
Object detection plays an important role in various fields. Developing detection models for 2D objects that experience rotation and texture variations is a challenge. In this resea…
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning
Florentina Tatrin Kurniati, Daniel HF Manongga, Eko Sediyono +2
In the era of modern technology, object detection using the Gray Level Co-occurrence Matrix (GLCM) extraction method plays a crucial role in object recognition processes. It finds…
Object Classification Model Using Ensemble Learning with Gray-Level Co-Occurrence Matrix and Histogram Extraction
Florentina Tatrin Kurniati, Daniel HF Manongga, Eko Sediyono +2
In the field of object classification, identification based on object variations is a challenge in itself. Variations include shape, size, color, and texture, these can cause probl…