arXiv:1807.11164
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
원문 초록
Datasets, Transforms and Models specific to Computer Vision
함께 살펴볼 논문
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Structured Pruning and Quantization for Learned Image Compression
OD3: Optimization-free Dataset Distillation for Object Detection
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
A Robust Feature Downsampling Module for Remote Sensing Visual Tasks
Automatic Detection and Image Recognition of Precision Agriculture for Citrus Diseases
R-MnasNet: Reduced MnasNet for Computer Vision
토론
이 논문과 연결된 포럼 글이 아직 없습니다.