| 1 |
Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification |
2017 IEEE international symposium on circuits and systems (ISCAS) |
2017-05-18 |
visibility
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| 2 |
Animal Scanner: Software for classifying humans, animals, and empty frames in camera trap images |
Ecology and evolution |
2019-02-10 |
visibility
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| 3 |
Learning local and deep features for efficient cell image classification using random forests |
25th IEEE International Conference on Image Processing (ICIP) |
2018-10-07 |
visibility
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| 4 |
Object detection from dynamic scene using joint background modeling and fast deep learning classification |
Journal of Visual Communication and Image Representation |
2018-08-01 |
visibility
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| 5 |
Animal species classification using deep neural networks with noise labels |
Ecological Informatics |
2020-05-01 |
visibility
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| 6 |
Object segmentation in the deep neural network feature domain from highly cluttered natural scenes |
2017 IEEE International Conference on Image Processing (ICIP) |
2017-09-17 |
visibility
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| 7 |
Semantic region of interest and species classification in the deep neural network feature domain |
Ecological Informatics |
2019-07-01 |
visibility
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| 8 |
Ensemble diversified learning for image classification with noisy labels |
Multimedia Tools and Applications |
2021-06-01 |
visibility
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| 9 |
Hierarchical Feature Mining for Image Classification and Segmentation |
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2022 |
visibility
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| 10 |
Object segmentation in the deep neural network feature domain from highly cluttered natural scenes |
2017 IEEE International Conference on Image Processing (ICIP) |
2017 |
visibility
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| 11 |
Learning local and deep features for efficient cell image classification using random forests |
2018 25th IEEE International Conference on Image Processing (ICIP) |
2018 |
visibility
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| 12 |
Animal species classification using deep neural networks with noise labels |
Ecological Informatics |
2020 |
visibility
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| 13 |
Semantic region of interest and species classification in the deep neural network feature domain |
Ecological Informatics |
2019 |
visibility
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| 14 |
Animal Scanner: Software for classifying humans, animals, and empty frames in camera trap images |
Ecology and evolution |
2019 |
visibility
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| 15 |
Object detection from dynamic scene using joint background modeling and fast deep learning classification |
Journal of Visual Communication and Image Representation |
2018 |
visibility
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| 16 |
Ensemble diversified learning for image classification with noisy labels |
Multimedia Tools and Applications |
2021 |
visibility
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| 17 |
Deep neural networks for animal object detection and recognition in the wild |
University of Missouri--Columbia |
2019 |
visibility
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