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🪐 End-to-end NLP workflows from prototype to production
An efficient implementation for ImageNet classification
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
This is a project for Incremental Anomaly Detection, which is written in MATLAB. The used techniques including: incremental LDA, incremental SVM, SMOTE, hard negative mining.
an object detection framework for UNT REU 2019 project.
Compare Non-Local, GC, SE and Global_Average_Pooling