Search Results for author:
Found 4 papers, 2 papers with code
Analyzing the Roles of Language and Vision in Learning from Limited Data
Does language help make sense of the visual world?
Fall Detection using Knowledge Distillation Based Long short-term memory for Offline Embedded and Low Power Devices
This paper presents a cost-effective, low-power approach to unintentional fall detection using knowledge distillation-based LSTM (Long Short-Term Memory) models to significantly improve accuracy.
Monitored Distillation for Positive Congruent Depth Completion
In the absence of ground truth for model selection and training, our method, termed Monitored Distillation, allows a student to exploit a blind ensemble of teachers by selectively learning from predictions that best minimize the reconstruction error for a given image.
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding
We propose a neural network architecture in the form of a standard encoder-decoder where predictions are guided by a spatial expansion embedding network.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
