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Article
An end-to-end repair-based joint training framework for weakly supervised pavement crack segmentation
Weakly supervised pavement crack segmentation aims to assign each pixel of pavement surface images a category label (crack or non-crack) using limited annotation information. Most existing methods adopt the mu...
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Article
An improved interaction-and-aggregation network for person re-identification
Person re-identification (ReID) aims to match a specific person across non-overlap** camera views and has wide application prospects. However, existing methods are still susceptible to occlusion and missing ...
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Article
An attention-erasing stripe pyramid network for face forgery detection
Face forgery detection aims to distinguish between real and fake facial images or videos by identifying manipulated or forged visual media. The main challenge in face forgery detection is achieving high model ...
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Article
Learning discriminative features for person re-identification via multi-spectral channel attention
Person re-identification (Re-ID) aims to match a particular person captured by different cameras, which has great potential in video surveillance. However, Re-ID is still challenging due to occlusions, misalig...
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Article
A gated multi-hierarchical feature fusion network for recognizing steel plate surface defects
Recognizing defects on the steel plate surface has great application potential in the steel manufacturing process. However, it is still challenging to accurately recognize surface defects since most defects on...
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Article
Controllable smoke image generation network based on smoke imaging principle
Smoke recognition is a critical task in fire prevention and environmental protection. However, existing methods still face the problems of high false alarm rates and low detection rates because of lacking dive...
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Article
Smoke vehicle detection based on multi-feature fusion and hidden Markov model
Existing smoke vehicle detection methods and vision-based smoke detection methods are vulnerable to false alarms. This paper presents an automatic smoke vehicle detection method based on multi-feature fusion a...
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Article
Detecting smoky vehicles from traffic surveillance videos based on dynamic features
Existing smoky vehicle detection methods are vulnerable to false alarms because of the continuous interferences from common passed vehicles and the complex characteristics of smoke. This paper presents a video...
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Article
Contour-based smoky vehicle detection from surveillance video for alarm systems
Existing smoky vehicle detection methods and related smoke detection methods still have high false alarm rates. To solve this issue, this paper presents a contour-based smoky vehicle detection method for alarm...
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Article
Smoky vehicle detection based on multi-feature fusion and ensemble neural networks
Existing methods of smoky vehicle detection from the traffic flow are inefficiency and need a large number of workers. To solve this issue, we propose an automatic smoky vehicle detection method based on multi...
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Article
Smoky vehicle detection based on multi-scale block Tamura features
Smoky vehicle, emitting visible black exhaust emissions from vehicle exhaust pipe, is representative heavy pollution vehicle. This paper presents an intelligent smoky vehicle detection method based on multi-sc...
