2 citations · 4 across the 9 of their papers we have counts for
8 papers · 1 filter
G-MAD: A Game-Based Data Generation Framework for Multi-View RGB-T Aerial Object Detection
Yechan Kim, JongHyun Park, Dongho Yoon +2
This work introduces G-MAD, an open-source framework that uses Arma3 to generate synchronized multi-view RGB-T data for aerial object detection. G-MAD addresses key limitations of…
Regional Attention-Enhanced Swin Transformer for Clinically Relevant Medical Image Captioning
Zubia Naz, Farhan Asghar, Muhammad Ishfaq Hussain +4
Automated medical image captioning translates complex radiological images into diagnostic narratives that can support reporting workflows. We present a Swin-BART encoder-decoder sy…
Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise
Yechan Kim, Dongho Yoon, Younkwan Lee +7
While previous studies on image segmentation focus on handling severe (or explicit) label noise, real-world datasets also exhibit subtle (or implicit) label imperfections. These ar…
NSegment : Label-specific Deformations for Remote Sensing Image Segmentation
Yechan Kim, DongHo Yoon, SooYeon Kim +1
Labeling errors in remote sensing (RS) image segmentation datasets often remain implicit and subtle due to ambiguous class boundaries, mixed pixels, shadows, complex terrain featur…
NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection
Yechan Kim, SooYeon Kim, Moongu Jeon
Data augmentation has shown significant advancements in computer vision to improve model performance over the years, particularly in scenarios with limited and insufficient data. C…
Investigating Long-term Training for Remote Sensing Object Detection
JongHyun Park, Yechan Kim, Moongu Jeon
Recently, numerous methods have achieved impressive performance in remote sensing object detection, relying on convolution or transformer architectures. Such detectors typically ha…
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
Seongmin Hwang, Daeyoung Han, Cheolkon Jung +1
The surge in interest regarding image dehazing has led to notable advancements in deep learning-based single image dehazing approaches, exhibiting impressive performance in recent…
Adaptive Confidence Threshold for ByteTrack in Multi-Object Tracking
Linh Van Ma, Muhammad Ishfaq Hussain, JongHyun Park +2
We investigate the application of ByteTrack in the realm of multiple object tracking. ByteTrack, a simple tracking algorithm, enables the simultaneous tracking of multiple objects…