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Found 6 papers, 2 papers with code
A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models
In recent years, the potential applications of Large Multimodal Models (LMMs) in fields such as healthcare, social psychology, and industrial design have attracted wide research attention, providing new directions for human factors research.
Skeleton Supervised Airway Segmentation
Then, we construct a geometry-aware dual-path propagation framework (GDP) to further promote complementary propagation learning, composed of hard geometry-aware propagation learning and soft geometry-aware propagation guidance.
Using Neural Networks for Fast SAR Roughness Estimation of High Resolution Images
We show that this approach leads to an estimator that is quicker, yields less estimation error and is less prone to failures than the traditional estimation procedures for this problem, even when we use a simple network.
GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision
To address these problems, we contribute a new bronchial segmentation method based on Group Deep Dense Supervision (GDDS) that emphasizes fine-scale bronchioles segmentation in a simple-but-effective manner.
M3E-Yolo: A New Lightweight Network for Traffic Sign Recognition
Traffic sign recognition is committed to ensuring the safety of automatic driving.
Ranked #1 on
Traffic Sign Detection
on CCTSDB2021
PENet: Towards Precise and Efficient Image Guided Depth Completion
More specifically, one branch inputs a color image and a sparse depth map to predict a dense depth map.
Ranked #3 on
Depth Completion
on KITTI Depth Completion
