Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Abstract: This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...
Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...
when i run the python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config..... (tf) D:\Anaconda\envs\tf ...
Debugging can truly get on your nerves at times. But that’s part of our job—sometimes more than actual coding itself. Imagine writing a prime number checker, only to find out it’s identifying ...
Abstract: Object detection is, as you know, an important task in the field of computer vision object or detection of an object and recognition, the processing of an image is an important research ...
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