Results 11 to 20 of about 15,552,862 (368)
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection [PDF]
European Conference on Computer Vision, 2023 In this paper, we present an open-set object detector, called Grounding DINO, by marrying Transformer-based detector DINO with grounded pre-training, which can detect arbitrary objects with human inputs such as category names or referring expressions ...
Shilong Liu +10 more
semanticscholar +1 more source
DETRs Beat YOLOs on Real-time Object Detection [PDF]
Computer Vision and Pattern Recognition, 2023 The YOLO series has become the most popular frame-work for real-time object detection due to its reasonable trade-off between speed and accuracy. However, we observe that the speed and accuracy of YOLOs are negatively affected by the NMS.
Wenyu Lv +8 more
semanticscholar +1 more source
FCOS: Fully Convolutional One-Stage Object Detection [PDF]
IEEE International Conference on Computer Vision, 2019 We propose a fully convolutional one-stage object detector (FCOS) to solve object detection in a per-pixel prediction fashion, analogue to semantic segmentation.
Zhi Tian +3 more
semanticscholar +1 more source
EfficientDet: Scalable and Efficient Object Detection [PDF]
Computer Vision and Pattern Recognition, 2019 Model efficiency has become increasingly important in computer vision. In this paper, we systematically study neural network architecture design choices for object detection and propose several key optimizations to improve efficiency. First, we propose a
Mingxing Tan, Ruoming Pang, Quoc V. Le
semanticscholar +1 more source
PointPillars: Fast Encoders for Object Detection From Point Clouds [PDF]
Computer Vision and Pattern Recognition, 2018 Object detection in point clouds is an important aspect of many robotics applications such as autonomous driving. In this paper, we consider the problem of encoding a point cloud into a format appropriate for a downstream detection pipeline.
Alex H. Lang +5 more
semanticscholar +1 more source
Rolling Bearing Fault Diagnosis Method Based on MCMF and SAIMFE
Shock and Vibration, 2022 Fault diagnosis of rolling bearing is important for ensuring the safe operation of industrial machinery. In order to improve diagnosis accuracy of bearing fault, a rolling bearing fault diagnosis method based on multiscale combined morphological filter ...
Dejun Meng +5 more
doaj +1 more source
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications [PDF]
arXiv.org, 2022 For years, the YOLO series has been the de facto industry-level standard for efficient object detection. The YOLO community has prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios.
Chuyin Li +17 more
semanticscholar +1 more source
Liang you shipin ke-ji, 2021 In order to evaluate the high quality product rate of wheat in Shandong Province, and guide practice of grain circulation in production and consumption, the survey collected the wheat planting status and quality evaluation data in Shandong Province from ...
ZHAO Ying +5 more
doaj +1 more source
Cascade R-CNN: Delving Into High Quality Object Detection [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU threshold, e.g. 0.5, usually produces noisy detections.
Zhaowei Cai, N. Vasconcelos
semanticscholar +1 more source
Scientific Reports, 2023 This study aims to explore changes in depression and pain for major depressive disorder (MDD) patients with somatic pain after repetitive transcranial magnetic stimulation (rTMS) using the event-related potentials (ERPs) technique.
Yuanfeng Sun +3 more
doaj +1 more source