IEEE

Adaptive Grid Selection Training Strategy for Tiny Object Detection

Abstract: Detecting small objects and managing occlusions remain persistent challenges in object detection tasks, particularly in complex scenarios with diverse environments or densely packed scenes.
IEEE

Faster R-CNN With Variable-Sensitive Map for UAVs Fault Detection: Addressing Simultaneous Sensor Faults in Autonomous Flights

Abstract: Unmanned aerial vehicles (UAVs) have advanced significantly and are increasingly used in civil and military field. Ensuring their safety and reliability is crucial, and fault detection is ...
IEEE

Weakly Supervised Object Detection for Aerial Images with Instance-aware Label Assignment

Abstract: Weakly supervised object detection has emerged as a cost-effective and promising solution in remote sensing, as it requires only image-level labels and alleviates the burden of ...
IEEE

A Comparative Evaluation of YOLOv7, Faster R-CNN and RetinaNet on MS COCO Dataset

Abstract: This paper presents an end-to-end approach to object detection using the YOLOv7 architecture, evaluated on the MS COCO dataset. MS COCO offers over 200,000 annotated images spanning 80 ...
IEEE

Adaptive Receptive Field Network for Small Objects Detection in Remote Sensing Images

Abstract: Small object detection in remote sensing images is severely hampered by the significant scale variation even among small objects. Conventional methods often rely on a static receptive field ...
IEEE

A Patch-Based CNN Approach for Object Detection Using RGB and NIR Image Fusion

Abstract: This study explores the fusion of RGB and NearInfrared (NIR) images for object detection. Three fusion techniques, such as RedSwap, Heatmap, and the proposed NIRR Difference, were evaluated ...
IEEE

TCINet: Transformer–CNN Interaction Network for Space Noncooperative Object Saliency Detection

Abstract: Space noncooperative object detection (SNCOD) is an essential part of space situation awareness. The localization and segmentation capabilities of the salient object detection (SOD) method ...
IEEE

Mask R-CNN with HRNet Backbone for Person Detection Evaluation on COCO Using mIoU and Threshold Optimization

Abstract: A crucial computer vision problem is person detection, but real-world challenges including crowded backgrounds, inconsistent lighting, and object occlusion require accurate and robust models ...
IEEE

MSTCNet: Multiscale Transformer-CNN Network for Robotic Grasp Detection

Abstract: Existing robotic grasp detection methods often struggle with inaccurate predictions in complex scenarios involving multiple objects and textured backgrounds. Most existing methods attempt to ...
7News Miami

Coco Gauff smashes racket in frustration after 59-minute collapse in Australian Open quarterfinal

(CNN) — Coco Gauff’s hopes of winning this year’s Australian Open came crashing down in just 59 minutes on Tuesday, as she was beaten in straight sets in the quarterfinals by Ukrainian star Elina ...
Live Science

Hundreds of new 'anomalies' in Hubble data defy explanation

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