From late April 2026 to mid-June 2026, Microsoft Defender Experts observed increased ACR Stealer activity across customer ...
Researchers have designed and built the first 3D device that can make objects invisible to heat, an advance that could ...
Abstract: As automation technology advances, cargo classification is becoming increasingly important. Cargo detection is a key application area in computer vision, involving the recognition and ...
This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
Coccidiosis, caused by the protozoan Eimeria sp., is one of the most common and costly diseases impacting the poultry industry. To establish effective control measures, it is essential to identify ...
We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
Abstract: Object detection aims to recognize all instances of a known class of objects in an image, such as people, vehicles, or faces. In recent times deep learning techniques was applied for ...