mAP (%) of each dataset under different object detection algorithms. by Weilun Wang (21559389)

Comparative visualization: classification results (Left) vs. Object detection results (Right). by Mengyuan Yan (14200322)

Detection results on the FLIR dataset using different algorithms. by Weilun Wang (21559389)

Detection results on the HIT-UAV dataset using different algorithms. by Weilun Wang (21559389)

Raw performance data for the first algorithm shown in Fig 9. by Weilun Wang (21559389)

Raw performance data for the third algorithm shown in Fig 9. by Weilun Wang (21559389)

Raw performance data for the second algorithm shown in Fig 9. by Weilun Wang (21559389)

The efficient multi-scale attention. by Yang Zhang (30734)

Subjects:

Research on Vehicle Detection Algorithms Based on Deep Learning in Complex Environments by Xiaodan Li (22309438)

Architecture of Multi-branch Context-Guidance Module. by Xun Li (182737)

Structure of Multi-Branch Partially Transformer Block. by Xun Li (182737)

Results from Cell-TRACTR and model overview for object detection. by Owen M. O’Connor (11965460)

OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers by Mustafa Arikan (8104316)

“…To address this gap, we present a comprehensive multi-grader and multi-disease dataset fortraining machine learning-based algorithms. …”

Algorithm comparison test results. by Hang Ren (1312905)

<b>Multi-object detection method based on YOLOv9 for labor protection equipment</b><b> </b><b>wear</b><b>ing</b><b> </b><b>condition </b><b>of offshore platform operators</b> by Guo Xiaosai (21358637)

“…<p dir="ltr">Based on the work process monitoring requirements of offshore platform operators, the multi-object detection method for labor protection equipment wearing condition based on YOLOv9 model is proposed, the optimization method for YOLOv9 model based on CBAM attention mechanism and Focaler-iou bounding box loss function is studied, and the superiority of the optimized model is confirmed by a series of ablation experiments. …”

Visualization of algorithm detection results. by Xinpeng Yao (18882573)

“…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”

Comparison of inference speed and model size for different tracking algorithms. by Yinghong Xie (22319875)

A New Control Approach for a Multi-Controlled Wheelchair Utilizing Deep Learning Framework and Raspberry Pi by Sudipta Chatterjee (536333)

Algorithm schematic diagram of the CSM module. by Huiying Zhang (200681)

“…<div><p>An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …”

Schematic diagram of MHSA mechanism. by Guofeng Qin (11025170)

“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. …”