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Plant species recognition methods using leaf image: Overview
Plant plays an important role in agricultural, industrial, medicine, environmental and
ecological protection. Recently, with global warming, biodiversity loss, rapid urban …
ecological protection. Recently, with global warming, biodiversity loss, rapid urban …
Pose-invariant embedding for deep person re-identification
Pedestrian misalignment, which mainly arises from detector errors and pose variations, is a
critical problem for a robust person re-identification (re-ID) system. With poor alignment, the …
critical problem for a robust person re-identification (re-ID) system. With poor alignment, the …
Salient object detection: A discriminative regional feature integration approach
Salient object detection has been attracting a lot of interest, and recently various heuristic
computational models have been designed. In this paper, we regard saliency map …
computational models have been designed. In this paper, we regard saliency map …
Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron
ZF Lai, HF Deng - Computational intelligence and …, 2018 - Wiley Online Library
Medical image classification is a key technique of Computer‐Aided Diagnosis (CAD)
systems. Traditional methods rely mainly on the shape, color, and/or texture features as well …
systems. Traditional methods rely mainly on the shape, color, and/or texture features as well …
Kernel slow feature analysis for scene change detection
Scene change detection between multitemporal image scenes can be used to interpret the
variation of regional land use, and has significant potential in the application of urban …
variation of regional land use, and has significant potential in the application of urban …
[HTML][HTML] A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems
In recent years, deep reinforcement learning has shown great potential in solving computer
games with sequential decision-making scenarios. Hyper-heuristic is a generic search …
games with sequential decision-making scenarios. Hyper-heuristic is a generic search …
Efficient deep features selections and classification for flower species recognition
Image-based automatic flower species classification is an important problem for the
biologists who construct digital flower catalogs. A dozen of work about flower species …
biologists who construct digital flower catalogs. A dozen of work about flower species …
A review of object representation based on local features
Object representation based on local features is a topical subject in the domain of image
understanding and computer vision. We discuss the defects of global features in present …
understanding and computer vision. We discuss the defects of global features in present …
Multilayer vectorization to develop a deeper image feature learning model
Sažetak Computer-Aided Diagnosis (CAD) approaches categorise medical images
substantially. Shape, colour, and texture can be problem-specific in medical imagery …
substantially. Shape, colour, and texture can be problem-specific in medical imagery …
A color-texture-structure descriptor for high-resolution satellite image classification
Scene classification plays an important role in understanding high-resolution satellite (HRS)
remotely sensed imagery. For remotely sensed scenes, both color information and texture …
remotely sensed imagery. For remotely sensed scenes, both color information and texture …