May 28, 2024 · ... attention, enhancing the model's focus on input features. It is ... feature maps by selecting maximum values in different regions, preserving essential features.

May 31, 2024 · STDL is proposed. The model after adding STDL can get more accurate target localization and bounding box accuracy to enhance small detection accuracy.

2 days ago · In this study, a new improved method for road object detection is proposed, named Enhanced YOLOv5 algorithm and Deep Schedule Object Detection (DSOD) algorithm.

May 30, 2024 · SparseDrive first encodes multi-view images into feature maps, then learns sparse scene ... St-p3: End-to-end vision-based autonomous driving via spatial-temporal ...

5 days ago · It aims to predict the future driving trajectory of a traffic agent based on its historical behavior and the surrounding environmental information. Improving ...

5 days ago · Based on the traditional machine learning method, by analyzing the characteristics of different traffic signs, the corresponding classifier is selected to ...

6 days ago · The network incorporated an illumination-aware attention module, enhancing feature extraction to mitigate noise and color bias while improving visual quality.

Jun 2, 2024 · ... targets, effectively removing dynamic feature points from the feature region. In Section 2, we review the development of feature point extraction algorithms ...

Jun 13, 2024 · The object queries act as a high-level summary of the target object, while high-resolution feature ... We propose a unified multi-modal framework — Audio-Visual ...