AI & Machine Learning
Memory Access Optimization for On-Chip Transfer Learning
Training of Deep Neural Network (DNN) at the edge faces the challenge of high energy consumption due to the requirements of a large number of memory accesses for gradient calculations....
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以非局部的解碼器-擠壓-激勵網路及自適應深度列表達成基於編碼器-解碼器的單鏡頭深度估計任務
單鏡頭深度估計是計算機視覺中的一個重要議題。近年來,基於卷積神經網路的編碼器-解碼器架構中展現了合理的結果。在一個強大的編碼器下,人們發現即使是簡單的上採樣過程也能達到良好的準確度....
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MONOCULAR 3D BASED HUMAN POSE ESTIMATION WITH REFINEMENT BLOCK AND SPECIAL LOSS FUNCTION
In this architecture, we present a 3D HPE by monocular. We use the multi-loss method that depends on 2D heatmaps and volumetric heatmaps and a refinement block to locate root-relative 3D human pose....
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Self-Defined Text-dependent Wake-Up-Words Speaker Recognition System
In recent years, wake-up-words (WUW) technology is highly developed in some speaker recognition system. It is the progress of verifying a person's claimed identity from their voice characteristics, and can be efficiently deployed in some consumer applications....
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Multitask Learning on 3D Hand Pose Estimation with Continuous Joints Heatmap
In recent years, deep learning algorithms have been accelerated with GPUs or other volume acceleration hardware, and deep neural networks have gained significant improvements in various tasks....
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A Single-Stage Face Detection and Face Recognition Deep Neural Network Based on Feature Pyramid and Triplet Loss
A practical deep learning face recognition system can be divided into several tasks. These tasks can be time-consuming if executed each task with the original image as the input data....
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G2LGAN:對不平衡資料集進行資料擴增應用於晶圓圖缺陷分類
Semiconductor manufacturing requires multiple complex chemical processes. Errors in any link will cause defects in the produced wafers. Therefore, wafer map defect classification is a key task for the semiconductor industry to maintain and improve yield.....
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Speech Densely Connected Convolutional Networks for Small Footprint Keyword Spotting
In a society where human-computer interaction is becoming increasingly important, voice assistants that use voice recognition to drive or control devices are becoming more common....
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Dual-Sequences Gated Attention Unit Architecture for Speaker Verification
Speaker verification (SV), is the progress of verifying a person's claimed identity from their voice characteristics which are recorded by a device such as a microphone. A speaker verification system can be text-dependent and text-independent cases....
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