CKConv: Continuous Kernel Convolution For Sequential Data

Benchmark Model Rank Results
sequential-image-classification-on-sequential-mnistCKCNN (1M)#5Permuted Accuracy: 98.54%Unpermuted Accuracy: 99.32%
sequential-image-classification-on-sequential-mnistCKCNN (100k)#9Permuted Accuracy: 98%Unpermuted Accuracy: 99.31%
time-series-on-speech-commandsCKCNN (100k)#5% Test Accuracy: 95.27
sequential-image-classification-on-sequential-cifar-10CKCNN (1M)#11Unpermuted Accuracy: 63.74%
sequential-image-classification-on-sequential-cifar-10CKCNN (100k)#12Unpermuted Accuracy: 62.25%