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Volumetric Object Recognition Using 3-D CNNs on Depth Data., and . IEEE Access, (2018)Exploiting Multi-layer Features Using a CNN-RNN Approach for RGB-D Object Recognition., and . ECCV Workshops (3), volume 11131 of Lecture Notes in Computer Science, page 675-688. Springer, (2018)When CNNs meet random RNNs: Towards multi-level analysis for RGB-D object and scene recognition., , , and . Comput. Vis. Image Underst., (2022)FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection., , , , and . MLSP, page 1-6. IEEE, (2021)FBNet: FeedBack-Recursive CNN for Saliency Detection., , , , and . MVA, page 1-5. IEEE, (2021)3D convolutional object recognition using volumetric representations of depth data., and . MVA, page 125-128. IEEE, (2017)Derin öğrenme tekniklerini kullanarak rgb-d nesne tanıma (Rgb-d object recognition using deep learning techniques). Hacettepe University, Turkey, (2018)RGB-D SLAM Using Attention Guided Frame Association., , , , , , and . CoRR, (2022)SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks., , , , and . CoRR, (2021)SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks., , , , and . Image Vis. Comput., (2022)