Hand detection models combining convolutional neural networks (CNNs) with cross-stage partial (CSP) networks and spatial pyramid pooling (SPP) are summarized ...
Aug 5, 2024 · In this study, we provide a brief assessment of CNN-based object identification algorithms, specifically Densenet Yolo V2, Densenet Yolo V2 CSP, ...
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In this study, we provide a brief assessment of CNN-based object identification algorithms, specifically Densenet Yolo V2, Densenet Yolo V2 CSP, Densenet Yolo ...
Bibliographic details on Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection.
Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection. Big Data Cogn. Comput. 2022, 6, 85. https://doi ...
Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection · Christine DewiHenoch Juli Christanto. Computer ...
Yolo V4 CSP SPP failure cases on Oxford hand dataset. Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection.
Sep 14, 2023 · The YOLOV4 architecture is used to construct an effective hand detection method, and built Cross Stage Partial (CSP) and Spatial Pyramid Pooling ...
Dec 1, 2023 · Christanto, ''Combination of deep cross-stage partial network and spatial pyramid pooling for automatic hand detection,'' Big. Data Cognit.
Nov 7, 2022 · We introduce a Cross Stage Partial connections-based weighted Bi-directional Feature Pyramid Network (CSP-BiFPN), which allows easy and efficient multi-scale ...
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