… detect small targets,so the pedestrian detection algorithm presented in this paper picks the
feature enhancement … algorithm to fuse non-adjacent feature layers to increase the semantic …

… pedestrian detection methods and finds that the feature pyramid structure is insufficient in
addressing the problem of scale differences between pedestrians. (2… the feature enhancement …

… pedestrian points, which is also a straightforward convolution. Therefore, in this paper, pedestrian
detection is … Enhanced by the novel corner pooling layer, CornerNet achieves superior …

… such as the various scale of pedestrian features and cluttered background, which … pedestrian
detection method based on the FCOS network. Firstly, we designed a feature enhancement …

… The experimental results show that the pedestrian detection network PT-YOLO … detection
methods in pedestrian detection and can effectively accomplish the task of pedestrian detection …

… information to strengthen the features extracted by a … discriminative features of pedestrians
for robust pedestrian detection … contextual information for pedestrian detection. Fusing global …

… methods, where feature enhanced, part-aware, and post-processing … pedestrian detection,
we also review multi-spectral pedestrian detection, which provides more robust features for …

… We will show that our enhanced detector using HOG, motion, and CSS … pedestrian detection
in multiple ways: We have introduced powerful selfsimilarity features to pedestrian detection, …

… recognition and pedestrian detection problems [8, 9, 10, 11], we propose to perform the
spatial pooling operation to create the new feature type. Our new detector yields competitive …

… features for robust pedestrian detection. Specifically, we propose a scale-aware pedestrian
attention module to guide the detector to … are enhanced, while the background interference is …