Witryna1 sty 2024 · A fine-grained set of high quality annotations and corresponding statistics are presented. SCUT dataset is highlighted in data volume, data diversity and a wide range of imaging distance. Witryna8 lis 2016 · test set of KAIST contains 2,252 images sampled from test videos with 30-frame skips, ... [42] to use the improved annotations by Zhang et al. [18] and Liu et al. [38] ...

Multimodal Fusion Architectures for Pedestrian Detection

Witryna8 lis 2016 · Our experimental results on KAIST pedestrian benchmark show that the Halfway Fusion model that performs fusion on the middle-level convolutional features … Witryna6 lis 2024 · The original KAIST dataset contains 95,328 RGB-thermal image pairs, which are split into a training set (50,172) and a testing set (45, 156). Because the original … dabs pooling ceramic

YOLO-FIRI: Improved YOLOv5 for Infrared Image Object Detection

Witryna18 cze 2024 · In this paper, we introduced and adapted a simple and efficient one-stage YOLOv4 to replace the current state-of-the-art two-stage fast-RCNN for multispectral pedestrian detection and to directly predict bounding boxes with confidence scores. Witryna15 paź 2024 · Compared with YOLOv4, the mean average precision (mAP50) of YOLO-FIRI is increased by 21% on the KAIST dataset, the speed is reduced by 62%, the … WitrynaAbstract. Object detection with multimodal inputs can improve many safety-critical systems such as autonomous vehicles (AVs). Motivated by AVs that operate in both day and night, we study multimodal object detection with RGB and thermal cameras, since the latter provides much stronger object signatures under poor illumination. dabster consulting pvt ltd