000 | 01350nam a22001697a 4500 | ||
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008 | 240215b |||||||| |||| 00| 0 eng d | ||
020 | _a9780128221099 | ||
082 |
_a006.37 _bADV |
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245 | _aAdvanced Methods and Deep Learning in Computer Vision: Computer Vision and Pattern Recognition | ||
260 |
_bAcademic Press _c2022 _aU. K. |
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300 | _a562p | ||
500 | _aThe dramatically changing face of computer vision Advanced methods for robust object detection Learning with limited supervision Efficient methods for deep learning Deep conditional image generation Deep face recognition using full and partial face images Unsupervised domain adaptation using shallow and deep representations Domain adaptation and continual learning in semantic segmentation Visual tracking Long-term deep object tracking Learning for action-based scene understanding Self-supervised temporal event segmentation inspired by cognitive theories Probabilistic anomaly detection methods using learned models from time-series data for multimedia self-aware Deep plug-and-play and deep unfolding methods for image restoration Visual adversarial attacks and defenses | ||
600 |
_aComputer Engineering _999857 |
||
700 |
_aDavies, E. R. _eEditor _998082 |
||
700 |
_aTurk, Matthew _eEditor _998083 |
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942 |
_2ddc _cLB |
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999 |
_c148188 _d148188 |