Flow of complete face detection method. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Face feature extraction results. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Comparison of face recognition technologies. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

gcPCA correctly extracts contrastive facial features in the Chicago Face Dataset. by Eliezyer Fermino de Oliveira (20691761)

An illustration of the Deepwalk algorithm operation involves a random walk on the graph, resulting in a “walk” sequence, which is then utilized to construct a graph. by Xiaobing Deng (1622233)

Comparison of facial feature extraction effect. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Results of ablation experiment. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Results of ablation experiment. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Anti-noise test results. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Results of generalization ability verification. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

SimSPPF module structure. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

mAP@0.5 results. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

YOLOv8n network architecture diagram. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

Radar parameters. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

Confusion matrix of the improved model. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

Improved network structure of the YOLOv8n model. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

PANet network design. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

Plot of improved model output results. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

BiFPN network design. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”

Results of ablation experiments. by Mengqi Yuan (4852555)

“…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. …”