… pedestrian detection system based on a two-stage classifier. Candidates are extracted with a
Haar cascade classifier trained with the Daimler Detection … can be enhanced with a tracking …

… The first modulation method is semantic feature enhancement of backbone, which is …
The second modulation method is confidence score enhancement of detection head, which is …

… different detection feature layers to obtain enhanced features. … progress in image feature
enhancement. This paper aims to … , and enhanced the representation ability of the feature map …

… in pedestrian detection, we incorporate classifier enhancement … More specifically, we first
fuse multi-channel visual features (… pedestrian detection by enhancing the feature extraction of …

… , we propose a semantic feature enhancement module, … features and increase the difficulty
of detection. We propose to introduce a semantic feature enhancement module in the feature …

… performance of the proposed image enhancement method. In this … pedestrian detection
model because it is more suitable for object detection in various scenes and has higher detection …

… Further enhancement of the features is achieved by applying channel-wise attention and
extraction of contextual information with the help of four RNNs traversing in four different …

… RoI feature enhancing subnetwork is a reimplementation of SENet with an identical block
structure, which consists of one global average pooling layer (Fsq) and two consecutive fully …

… By means of applying attention on midstream conv4_3(C) and conv4_3(T), we produce the
Head-F and attach context enhancement blocks on the feature hierarchy. After that, we use …

… This study proposes a method of pedestrian detection at nighttime using a visible-light …
deep convolutional features in successive frame images enhanced the pedestrian detection …