Single-stage object detectors have been widely applied in many computer vision applications due to their simpleness and high efficiency. However, the low correlation between the classification score and localization accuracy in detection results severely hurts the average precision of the detection model....
Self-Ensembling single-stage目标检测器(SE-SSD),根据指定的一致性约束优化,从而更好的将预测与soft 目标对齐; 新的数据增强方案,可以产生形状感知的GT目标; 方向感知的distance-IoU损失,以监督hard 目标的检测器 4 Related Work: Two-stage Object Detectors: Point-RCNN、Part-A2、STD、PV-RCNN、3D-CVF Sing...
We present our approach to unsupervised domain adaptation for single-stage object detectors on top-view grid maps in automated driving scenarios. Our goal is to train a robust object detector on grid maps generated from custom sensor data and setups. We first introduce a single-stage object dete...
For a glimpse of performance, our YOLOv6-N hits 35.9% AP on the COCO dataset at a throughput of 1234 FPS on an NVIDIA Tesla T4 GPU. YOLOv6-S strikes 43.5% AP at 495 FPS, outperforming other mainstream detectors at the same scale~(YOLOv5-S, YOLOX-S, and PPYOLOE-S). Our ...
This is the official implementation of 3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020 Oral), a single-stage 3D point-based object detector.IntroductionCurrently, there have been many kinds of voxel-based 3D single stage detectors, while point-based single stage methods are still ...
vedadet is a single stage object detector toolbox based on PyTorch. Features Modular Design We re-design MMDetection based on our taste and needs. Specifically, we decompose detector into four parts: data pipeline, model, postprocessing and criterion which make it easy to convert PyTorch model in...
Feature pyramids are widely exploited by both the state-of the-art one-stage object detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage object detectors (e.g., Mask RCNN, DetNet) to alleviate the problem arising from scale variation across object instances. Although these obj...
On the other hand, we have single-stage detectors, such as YOLO (You Only Look Once) and SSD (Singe Shot MultiBox Detector), that treat object detection as a simple regression problem, by taking an input image and learning the class probabilities and bounding box coordinates. Such models ...
Feature pyramids are widely exploited by both the state-of the-art one-stage object detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage object detectors (e.g., Mask RCNN, DetNet) to alleviate the problem arising from scale variation across object instances. Although these obj...
YOLOv6: a single-stage object detection framework dedicated to industrial applications. - springclous/YOLOv6