… and multi-scale problems of pedestrian detection and discussed the corresponding solutions.
At last, we induced the pedestrian detection … trend of deep learning in pedestrian detection. …

… Based on the above analysis, we propose a new structure to generate multi-scale feature
maps with sufficient spatial resolution for accurate pedestrian detection, as illustrated in Fig. 5(c…

… detection. Therefore, this study explored methods of resolving such pedestrian detection
problems… Although deep learning has been widely used in pedestrian detection [3], [4], image …

… recent progress in pedestrian detection. Firstly, brief progress of pedestrian detection in the
past … Secondly, recent deep learning methods focusing on occlusion and scale variance are …

… Related applications such as object detection [1… ], etc., and this research will study the
sub-branch “pedestrian detection” under object detection. Pedestrian detection has been one of …

… Aiming at the problems of background confusion, there are pedestrian ambiguity and
pedestrian multi-scale in pedestrian detection, this paper constructs a pedestrian detection method …

… pedestrian detection have been improved considerably, an optimistic balance between
accuracy and speed, pedestrian detection under different scales … multi-scale pedestrian detection…

… In this paper, we proposed a scale-aware multi-resolution (SAM) pedestrian detection frame…
combination of multi-resolution CNN features for pedestrian candidates of different scales. …

… problems are the key problems to be solved in pedestrian detection. The purpose of this … of
pedestrian detection. Firstly, this paper explores the research status of pedestrian detection in …

… pedestrian detection. Taking into account these factors, we present MFF-CNN for pedestrian
detection … multi-scale features. We first modify anchors in RPN, making it more suitable for …