In the featurization tutorial we incorporated multiple features into our models,...

Bert 全称为 Bidirectional Encoder Representations from Transformers（Bert）。和 ELMo 不同...

Bert 全称为 Bidirectional Encoder Representations from Transformers（Bert）。和 ELMo 不同...

In the featurization tutorial we incorporated multiple features beyond just user...

One of the great advantages of using a deep learning framework to build recommen...

In this tutorial, we build a simple matrix factorization model using the MovieLe...

OpenPPL 是商汤基于自研高性能算子库的开源深度学习推理平台，能够让人工智能应用高效可靠地运行在现有的 CPU、GPU 等计算平台上，为云端场景提供人工智能...

论文: Relation Networks for Object Detection

This tutorial shows how to load and preprocess an image dataset in three ways. F...

论文: Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes fo...

论文: FCOS: A Simple and Strong Anchor-freeObject Detector

A Survey of Methods for Low-Power Deep Learning and Computer Vision

论文: FoveaBox: Beyound Anchor-Based Object Detection

论文: DenseBox: Unifying Landmark Localization withEnd to End Object Detection

1, TITLE:Samplets: A New Paradigm for Data Compression

Anchor-free检测方法分为anchor-point类别和key-point类别两种，相对于key-point类别，anchor-point类别有以下有点...

论文: Feature Selective Anchor-Free Module for Single-Shot Object Detection

论文: RepPoints V2: Verification Meets Regression for Object Detection

论文: RepPoints: Point Set Representation for Object Detection

论文: CornerNet-Lite: Efficient Keypoint-BasedObject Detection