YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection
M Hussain - Machines, 2023 - mdpi.com
Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …
Sign language recognition: A deep survey
Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …
groups of people in society. There are different signs in each sign language with variability …
Sequential modeling enables scalable learning for large vision models
We introduce a novel sequential modeling approach which enables learning a Large Vision
Model (LVM) without making use of any linguistic data. To do this we define a common …
Model (LVM) without making use of any linguistic data. To do this we define a common …
Towards large-scale small object detection: Survey and benchmarks
With the rise of deep convolutional neural networks, object detection has achieved
prominent advances in past years. However, such prosperity could not camouflage the …
prominent advances in past years. However, such prosperity could not camouflage the …
Multimodal foundation models: From specialists to general-purpose assistants
Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …
methods to data compression. Recent advances in statistical machine learning have opened …
Msft-yolo: Improved yolov5 based on transformer for detecting defects of steel surface
Z Guo, C Wang, G Yang, Z Huang, G Li - Sensors, 2022 - mdpi.com
With the development of artificial intelligence technology and the popularity of intelligent
production projects, intelligent inspection systems have gradually become a hot topic in the …
production projects, intelligent inspection systems have gradually become a hot topic in the …
Varifocalnet: An iou-aware dense object detector
Accurately ranking the vast number of candidate detections is crucial for dense object
detectors to achieve high performance. Prior work uses the classification score or a …
detectors to achieve high performance. Prior work uses the classification score or a …
YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
Weeds are among the major threats to cotton production. Overreliance on herbicides for
weed control has accelerated the evolution of herbicide-resistance in weeds and caused …
weed control has accelerated the evolution of herbicide-resistance in weeds and caused …
Fast convergence of detr with spatially modulated co-attention
Abstract The recently proposed Detection Transformer (DETR) model successfully applies
Transformer to objects detection and achieves comparable performance with two-stage …
Transformer to objects detection and achieves comparable performance with two-stage …
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
AM Roy - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …
imagery (MI) has emerged as a powerful method for establishing direct communication …