Gaze Estimation via Strip Pooling and Multi-Criss-Cross Attention Networks
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DOI: 10.3390/app13105901
Abstract: Deep learning techniques for gaze estimation usually determine gaze direction directly from images of the face. These algorithms achieve good performance because face images contain more feature information than eye images. However, these image classes… read more here.
Keywords: cross attention; gaze estimation; strip pooling; estimation ... See more keywords