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 …
A survey of modern deep learning based object detection models
Object Detection is the task of classification and localization of objects in an image or video.
It has gained prominence in recent years due to its widespread applications. This article …
It has gained prominence in recent years due to its widespread applications. This article …
Segment everything everywhere all at once
In this work, we present SEEM, a promotable and interactive model for segmenting
everything everywhere all at once in an image. In SEEM, we propose a novel and versatile …
everything everywhere all at once in an image. In SEEM, we propose a novel and versatile …
Segment and Recognize Anything at Any Granularity
In this work, we introduce Semantic-SAM, an augmented image segmentation foundation for
segmenting and recognizing anything at desired granularities. Compared to the …
segmenting and recognizing anything at desired granularities. Compared to the …
Universal instance perception as object discovery and retrieval
All instance perception tasks aim at finding certain objects specified by some queries such
as category names, language expressions, and target annotations, but this complete field …
as category names, language expressions, and target annotations, but this complete field …
A simple framework for open-vocabulary segmentation and detection
In this work, we present OpenSeeD, a simple Open-vocabulary Segmentation and Detection
framework that learns from different segmentation and detection datasets. To bridge the gap …
framework that learns from different segmentation and detection datasets. To bridge the gap …
Mpdiou: a loss for efficient and accurate bounding box regression
S Ma, Y Xu - arxiv preprint arxiv:2307.07662, 2023 - arxiv.org
Bounding box regression (BBR) has been widely used in object detection and instance
segmentation, which is an important step in object localization. However, most of the existing …
segmentation, which is an important step in object localization. However, most of the existing …
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 …
UAV-YOLOv8: A small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios
G Wang, Y Chen, P An, H Hong, J Hu, T Huang - Sensors, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) object detection plays a crucial role in civil, commercial, and
military domains. However, the high proportion of small objects in UAV images and the …
military domains. However, the high proportion of small objects in UAV images and the …
Motr: End-to-end multiple-object tracking with transformer
Temporal modeling of objects is a key challenge in multiple-object tracking (MOT). Existing
methods track by associating detections through motion-based and appearance-based …
methods track by associating detections through motion-based and appearance-based …