Vehicle retrieval has become crucial for public transportation and intelligent transportation systems due to the exponential development of large-scale transportation videos. Vehicle re-identification and vehicle trac...
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Recent studies show that the image features from pre-trained convolution neural network (CNN) can be used for anomaly detection, even without fine-tuning. A common type of methods divides the image space into patches,...
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In today's world, machine learning, artificial intelligence, IoT, deep learning and several other techniques have become the need of the moment. One such division of artificial intelligence is computervision. The...
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The proceedings contain 140 papers. The topics discussed include: digital multi-scale visual planning model of spatial-geographical landscape pattern of smart parks;visual question answering model based on fusing glob...
ISBN:
(纸本)9781510667563
The proceedings contain 140 papers. The topics discussed include: digital multi-scale visual planning model of spatial-geographical landscape pattern of smart parks;visual question answering model based on fusing global-local feature;imageprocessing of the special sensor microwave/imager based on passive microwave remote sensing;imageprocessing of the special sensor microwave/imager based on passive microwave remote sensing;graptolite image classification based on feature transfer and mixup data enhancement;an image classification method based on few-shot learning;fine-grained imagerecognition based on multi-branch and multi-scale learning;research on road extraction model of remote sensing image based on the fused convolutional module and attention mechanism;unsupervised aircraft detection in SAR images with image-level domain adaption from optical images;the role of echocardiography segmentation evaluation metrics in clinical diagnosis;and machine vision-based measurement of air compressor crankshaft journal dimensions.
The implementation of a cow recognition system has significantly transformed the field of livestock management through the automation of identification and monitoring procedures. By employing sophisticated computer vi...
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Many companies still rely on manual data entry methods for managing their invoices. Some of these companies deal with a high volume of invoices in various formats daily, resulting in time-consuming processes and resou...
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The complex architecture and high training cost of vision Transformers (ViTs) have prompted the exploration of post-training quantization (PTQ). However, introducing previous PTQ into ViTs performed worse because the ...
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ISBN:
(纸本)9789819985456;9789819985463
The complex architecture and high training cost of vision Transformers (ViTs) have prompted the exploration of post-training quantization (PTQ). However, introducing previous PTQ into ViTs performed worse because the activation values after processing by the softmax and GELU functions were extremely unbalanced distributed and not the common Gaussian distribution. To solve this problem, we propose a fine-grained ViT quantization method to fit this special distribution and reduce the quantization error of the activation values. We also design an adaptive piecewise point search algorithm that can automatically find the optimal piecewise point. Both the piecewise point and its search process are in the form of a power of two, making it possible to be implemented on general-purpose hardware with a simple shift operation. Experiments show that the quantization algorithm requires only 32 calibration images and achieves nearly lossless prediction accuracy in the classification task of imageNet dataset. (The accuracy degradation for 8-bit quantization does not exceed 0.45%, and the average degradation is 0.17%).
Gait, the distinctive walking pattern of an individual, stands out as a human modality that can be effortlessly captured even with low-resolution cameras from a considerable distance. Gait patterns are unique to each ...
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Semantic segmentation is one of the most important research directions in the field of computervision, and has a wide range of applications for autonomous driving, medical imaging, intelligent security, etc. Unsuperv...
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The retail sector has experienced significant growth in artificial intelligence and computervision applications, particularly with the emergence of automatic checkout (ACO) systems in stores and supermarkets. ACO sys...
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