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SCAN: Sliding Convolutional Attention Network for Scene Text Recognition
Scene text recognition has drawn great attentions in the community of computer vision and artificial intelligence due to its challenges and wide applications. The proposed... -
Rank-1 Convolutional Neural Network
The proposed method uses the MNIST, CIFAR10, and Dog and Cat datasets for experiments. -
Question Classification using Convolutional Neural Networks
Question classification using Convolutional Neural Networks -
Kinetics-400, Something-Something-V2, and Epic-Kitchens-100
The authors used the Kinetics-400, Something-Something-V2, and Epic-Kitchens-100 datasets for video understanding tasks. -
ImageNet Large Scale Visual Recognition Challenge
A benchmark for low-shot recognition was proposed by Hariharan & Girshick (2017) and consists of a representation learning phase without access to the low-shot classes and a... -
ModelNet40
Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose... -
Leibniz University Hannover
Imported
Database and code to the paper: A multiscale CNN-based intrinsic permeability...
This work in the related paper introduces a novel application for predicting the macroscopic intrinsic permeability tensor in deformable porous media, using a limited set of...
