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Benchmarking deep networks for facial emotion recognition in the wild.

, , , and . Multim. Tools Appl., 82 (8): 11189-11220 (March 2023)

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A Push-Pull Layer Improves Robustness of Convolutional Neural Networks., , and . CoRR, (2019)Brain-Inspired Robust Delineation Operator., , and . ECCV Workshops (3), volume 11131 of Lecture Notes in Computer Science, page 555-565. Springer, (2018)Bio-Inspired Filters for Audio Analysis., , and . BrainComp, volume 10087 of Lecture Notes in Computer Science, page 101-115. Springer, (2015)Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters., , , and . Mach. Vis. Appl., 27 (8): 1137-1149 (2016)Enhanced robustness of convolutional networks with a push-pull inhibition layer., , and . Neural Comput. Appl., 32 (24): 17957-17971 (2020)Efficient binocular stereo correspondence matching with 1-D Max-Trees., , , and . Pattern Recognit. Lett., (2020)Detecting Sounds of Interest in Roads with Deep Networks., , , , and . ICIAP (2), volume 11752 of Lecture Notes in Computer Science, page 583-592. Springer, (2019)MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching., , and . CAIP (1), volume 13052 of Lecture Notes in Computer Science, page 110-119. Springer, (2021)Learning sound representations using trainable COPE feature extractors., , and . CoRR, (2019)Multi-Objective Optimization for Asynchronous Positioning Systems Based on a Complete Characterization of Ranging Errors in 3D Complex Environments., , , and . IEEE Access, (2020)