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Found 5 papers, 1 papers with code
Disjoint Pose and Shape for 3D Face Reconstruction
Existing methods for 3D face reconstruction from a few casually captured images employ deep learning based models along with a 3D Morphable Model(3DMM) as face geometry prior.
Task Oriented Conversational Modelling With Subjective Knowledge
Existing conversational models are handled by a database(DB) and API based systems.
Hybrid and Non-Uniform DNN quantization methods using Retro Synthesis data for efficient inference
The Hybrid-Quantization scheme determines the sensitivity of each layer for per-tensor and per-channel quantization, and thereby generates hybrid quantized models that are $10 - 20\%$ efficient in inference time while achieving same or better accuracy as compared to per-channel quantization.
Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference
Existing quantization aware training methods attempt to compensate for the quantization loss by leveraging on training data, like most of the post-training quantization methods, and are also time consuming.
