2024 Lightweight object detection

Lightweight object detection

Author: utfa

August undefined, 2024

WebFeb 14, 2024 · This study details the development of a lightweight and high performance model, targeting real-time object detection. Several designed features were integrated into the proposed framework to... WebWhite blood cell (WBC) detection in microscopic images is indispensable in medical diagnostics; however, this work, based on manual checking, is time-consuming, labor-intensive, and easily results in errors. Using object detectors for WBCs with deep convolutional neural networks can be regarded as a feasible solution.

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WebFeb 5, 2024 · In recent years, researchers have proposed some more lightweight object detection methods [24]. YOLOv3-tiny and YOLOv4-tiny are representative works, which are … WebApr 7, 2024 · Download PDF Abstract: Small object detection requires the detection head to scan a large number of positions on image feature maps, which is extremely hard for … bishop\u0027s topper crossword clue

Lightweight object detection model fused with feature pyramid

WebIdentify hundreds of objects, including people, activities, animals, plants, and places. Object detection Detect multiple objects with bounding boxes. Yes, dogs and cats too. Question answering Use a state-of-the-art natural language model to answer questions based on the content of a given passage of text with BERT. Community participation Web(2) Some of the most lightweight detections have good detection speed and can be deployed on robotic devices, but the detection accuracy still struggles to meet deployment requirements. In this paper, we propose a lightweight algorithm based on the improved YOLOv5 that solves the above problem. darktide crashing at the end

CSL-YOLO: A New Lightweight Object Detection System for …

A Survey on Lightweight CNN-Based Object Detection Algorithms …

WebOct 31, 2024 · This work is for designing one-stage lightweight detectors which perform well in terms of mAP and latency. With baseline models each of which targets on GPU and CPU respectively, various operations are applied instead of the main operations in backbone networks of baseline models. In addition to experiments about backbone networks and … WebApr 1, 2024 · In lightweight object detection, a novel real-time anchor-free object detection network, CFEDet, is constructed with a new CA-fused EfficientNet backbone network, a … darktide best weapons for zealotWebObject detection models detect the presence of multiple objects in an image and segment out areas of the image where the objects are detected. Semantic segmentation models partition an input image by labeling each pixel into a set of pre-defined categories. Body, Face & Gesture Analysis darktide cheat engine table

"WebApr 1, 2024 · To solve the existing problems that the relative position detection method of hydraulic support in comprehensive coal mining faces, such as complex detection equipment, has poor flexibility and maintainability, we propose a method of hydraulic support relative position detection in coal mining faces based on object detection … " - Lightweight object detection

Lightweight object detection

A Lightweight YOLOv5 Optimization of Coordinate Attention

WebFeb 13, 2024 · To address these issues, we proposed a lightweight one-stage multi-scale feature fusion detector called MSF-SNET for onboard real-time object detection of remote sensing images. Using... WebJun 8, 2024 · In this paper, the object detection model based on deep convolutional neural network has low accuracy in the process of lightweight, this paper improves the original …

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WebApr 15, 2024 · Furthermore, a modified lightweight object detection method, YOLOv5s-T, was incorporated. The experimental results show that the coefficient of determination … WebTo address the challenges associated with the use of biased object detection algorithms in robots, we propose a lightweight target detection algorithm for robots based on the …

WebThe object detection task is to locate and classify objects in an image. The current state-of-the-art high-accuracy object detection algorithms rely on complex networks and high computational cost. These algorithms have high requirements on the memory resource and computing capability of the deployed device, and are difficult to apply to mobile ... WebDec 31, 2024 · Because of this, a lightweight object detection method based on the You Only Look Once (YOLO) v5 algorithm and attentional feature fusion have been proposed to address this problem, and to produce a harmonious balance between accuracy and speediness for target detection in different environments.

WebMost recent methods for RGB (red–green–blue)-thermal salient object detection (SOD) involve several floating-point operations and have numerous parameters, resulting ... Zhang L., and Cheng M.-M., “ SAMNet: Stereoscopically attentive multi-scale network for lightweight salient object detection,” IEEE Trans. Image Process., vol. 30, ... WebJan 1, 2024 · In this work, we propose a new lightweight algorithm Smart-YOLO based on the YOLO framework which uses inverted bottleneck blocks and deep-wise separable convolution. We also put forward a new...

WebOct 9, 2024 · Lightweight object detection networks for mobile devices have excellent real-time performance but also lead to a non-negligible loss of accuracy. Dilated convolution. Dilated convolution was first proposed by Deeplab . It uses a sparse convolution operation to generate a higher resolution feature graph while maintaining the same parameters and ...

WebFeb 15, 2024 · Object detection with high accuracy and fast inference speed based on camera sensors is important for autonomous driving. This paper develops a lightweight object detection network based on YOLOv5s which is one of the most promising object detection networks in the current literature. bishop\\u0027s towingWebJun 19, 2024 · A lightweight object detection model its backbone based on ShuffleNetV2 network structure named L-Net is presented in this paper. A suitable backbone network … dark tide early accessWebWhite blood cell (WBC) detection in microscopic images is indispensable in medical diagnostics; however, this work, based on manual checking, is time-consuming, labor … bishop\u0027s towing goldendale waWebDec 15, 2024 · A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices December 2024 Computational Intelligence and Neuroscience Authors: Zuopeng Zhao... bishop\u0027s towing inksterWebApr 14, 2024 · 4) Based on the evaluation of the MrMT dataset, we demonstrate that our proposed method outperforms the latest batch of high-performance lightweight networks … darktide fastest way to levelWebAbstract: When the object detection algorithm faces the chanllenge of PCB defect detection, we need to consider the speed and accuracy of detection under the condition of limited … bishop\\u0027s towing inksterWebIn the experiment, compared with YOLOv3 and YOLOv3-tiny, Lightweight-YOLOv3 which performs well on detection accuracy and speed is effective and compact for vehicle and … bishop\u0027s towing