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)

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

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)

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

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

Subjects:

Algorithm comparison test results. by Hang Ren (1312905)

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

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

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. …”

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 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. …”

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

<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. …”

Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

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