A bilinear CNN that fuses features from a distortion-type classifier and an image classifier achieves superior BIQA performance on both synthetic and authentic distortion databases.
Deep residual learning for image recognition,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2019 2verdicts
UNVERDICTED 2representative citing papers
Introduces a multimodal UAV command dataset and shows image-augmented RNN language models outperform text-only versions despite imperfect training associations.
citing papers explorer
-
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
A bilinear CNN that fuses features from a distortion-type classifier and an image classifier achieves superior BIQA performance on both synthetic and authentic distortion databases.
-
Kite: Automatic speech recognition for unmanned aerial vehicles
Introduces a multimodal UAV command dataset and shows image-augmented RNN language models outperform text-only versions despite imperfect training associations.