首页标签深度学习

#深度学习

机器学习的分支,试图使用包含复杂结构或由多重非线性变换构成的多个处理层对数据进行高层抽象的算法

Building deep retrieval models

XianxinMao

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

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使用transformer BERT预训练模型进行文本分类 及Fine-tuning

大鹅

腾讯 · 后台开发 (已认证)

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

4740

使用transformer BERT预训练模型进行文本分类 及Fine-tuning

大鹅

腾讯 · 后台开发 (已认证)

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

3620

Taking advantage of context features

XianxinMao

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

400

Using side features: feature preprocessing

XianxinMao

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

6130

TensorFlow Recommenders: Quickstart

XianxinMao

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

5460

高性能深度学习推理引擎 OpenPPL 正式开源!

Aceyclee

腾讯 · 产品运营 (已认证)

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...

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RelationNet:学习目标间关系来增强特征以及去除NMS | CVPR 2018

VincentLee

论文: Relation Networks for Object Detection

6420

Load and preprocess images

XianxinMao

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

4630

Generalized Focal Loss:Focal loss魔改以及预测框概率分布,保涨点 | NeurIPS 2020

VincentLee

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

10140

FCOSv2:原作的扩展版本,小修小改,性能高达50.4AP | IEEE T-PAMI 2020

VincentLee

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

11630

收藏!计算机视觉领域低功耗深度学习前沿技术综述!

计算机视觉联盟

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

7200

FoveaBox:细节差别,另一种DenseBox+FPN的Anchor-free方案 | IEEE TIP 2020

VincentLee

论文: FoveaBox: Beyound Anchor-Based Object Detection

8010

DenseBox:思想超前的早期Anchor-free研究 | CVPR 2015

VincentLee

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

6330

计算机视觉论文-2021-07-08

计算机视觉联盟

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

6600

SAPD:FSAF升级版,合理的损失值加权以及金字塔特征选择 | ECCV 2020

VincentLee

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...

8630

FSAF:嵌入anchor-free分支来指导acnhor-based算法训练 | CVPR2019

VincentLee

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

5820

RepPointsV2:更多的监督任务,更强的性能 | NIPS 2020

VincentLee

论文: RepPoints V2: Verification Meets Regression for Object Detection

4600

RepPoints:微软巧用变形卷积生成点集进行目标检测,创意满满 | ICCV 2019

VincentLee

论文: RepPoints: Point Set Representation for Object Detection

9830

CornerNet-Lite:CornerNet粗暴优化,加速6倍还提点了 | BMVC 2020

VincentLee

论文: CornerNet-Lite: Efficient Keypoint-BasedObject Detection

11620

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