2d object detection with transformers: a review
Astounding performance of Transformers in natural language processing (NLP) has
delighted researchers to explore their utilization in computer vision tasks. Like other …
delighted researchers to explore their utilization in computer vision tasks. Like other …
More than encoder: Introducing transformer decoder to upsample
Medical image segmentation methods downsample images for feature extraction and then
upsample them to restore resolution for pixel-level predictions. In such schema, upsample …
upsample them to restore resolution for pixel-level predictions. In such schema, upsample …
Revisiting class imbalance for end-to-end semi-supervised object detection
P Kar, V Chudasama, N Onoe… - Proceedings of the …, 2023 - openaccess.thecvf.com
Semi-supervised object detection (SSOD) has made significant progress with the
development of pseudo-label-based end-to-end methods. However, many of these methods …
development of pseudo-label-based end-to-end methods. However, many of these methods …
Enhancing prospective consistency for semi-supervised object detection in remote sensing images
Deep-learning-based object detection has recently played a vital role in both computer
vision and Earth observation communities. However, the performance of modern object …
vision and Earth observation communities. However, the performance of modern object …
Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA--A Semi-Supervised Video Object Detection Method
JA Lin, YC Cheng, CK Lin - arXiv preprint arXiv:2404.01929, 2024 - arxiv.org
This study aims to establish a computer-aided diagnostic system for lung lesions using
bronchoscope endobronchial ultrasound (EBUS) to assist physicians in identifying lesion …
bronchoscope endobronchial ultrasound (EBUS) to assist physicians in identifying lesion …