WebMar 1, 2024 · For pedestrian detection, we compare the proposed CSP detector with the state-of-the-art anchor-box based pedestrian detector (ALFNet [33]). Both of the two detectors are trained on the CityPersons [30] training set … WebDec 30, 2024 · Great achievements have been made in pedestrian detection through deep learning. For detectors based on deep learning, making better use of features has become the key to their detection effect. While current pedestrian detectors have made efforts in feature utilization to improve their detection performance, the feature utilization is still …
Pedestrian detection algorithm based on multi-scale feature …
WebThe general-purpose object detection and target-specific object detection have different requirements and leads to different SOTA architecture. The general purpose object detection has to accommodate wide range of sizes and aspect ratios, but special purpose ones require fast inference time (pedestrian detection, etc) but appearances of objects ... WebAug 1, 2024 · The CSP detector has been advanced in pedestrian detection. W e use it as the base detector in our experiments, adjust the backbone network and add semantic feature enhancement mod- portable jump starter with power bank
GitHub - liuwei16/CSP: High-level Semantic Feature …
WebMay 21, 2024 · Pedestrian detection is a task in computer vision where the objective is to decide whether or not there are persons on the input image and if so, how many and … WebJan 29, 2024 · Correspondingly, the CenterNet-based pedestrian detection algorithm CSP has achieved high detection performance. Moreover, there are also some networks designed specifically for pedestrian detection, such as TAFT , and W3Net . RGB image based pedestrian detection algorithms have made significant progress. WebFeb 25, 2024 · This paper presents a method based on improved Cross Stage Partial (CSP) network. Firstly, the original backbone network Resnet50 of CSP is replaced by Resnet101, which better extracts features and solve the problem of pedestrian detection with occlusion. Secondly, a channel-based and compressed attention mechanism is … irs amend a tax return