经典网络解读系列（五）:《Learning Deep Representations of Fine-Grained Visual Descriptions》 - 代码天地

经典网络解读系列（五）:《Learning Deep Representations of Fine-Grained Visual Descriptions》

其他 2018-09-27 00:37:11 阅读次数: 0

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转载自blog.csdn.net/zlrai5895/article/details/81431273

经典网络解读系列（五）:《Learning Deep Representations of Fine-Grained Visual Descriptions》

Learning deep representations of fine-grained visual descriptions

《Learning Deep Representations of Fine-Grained Visual Descriptions》论文及代码阅读笔记

Cross-X Learning for Fine-Grained Visual Categorization

Learning to Navigate for Fine-grained Classification

Picking Deep Filter Responses for Fine-grained Image Recognition

（五十三）：Deep Visual-Semantic Alignments for Generating Image Descriptions

【新手也能读懂的超详细论文解读】Deep Visual-Semantic Alignments for Generating Image Descriptions

Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition

读论文，衣物检索：Deep domain adaptation for describing people based on fine-grained clothing attributes

论文笔记：双线性模型《Bilinear CNN Models for Fine-Grained Visual Recognition》

细粒度视觉分类（FGCV，Fine-Grained Visual Categorization）

Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Local

【论文浅读】《Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Cla》

Deep Learning, NLP, and Representations翻译学习

A Simple Framework for Contrastive Learning of Visual Representations

Paper Reading - Deep Visual-Semantic Alignments for Generating Image Descriptions ( CVPR 2015 )

Deep Visual-Semantic Alignments for Generating Image Descriptions从环境配置到得出结果Chapter3

Deep Visual-Semantic Alignments for Generating Image Descriptions从环境配置到得出结果Chapter2

Deep Visual-Semantic Alignments for Generating Image Descriptions从环境配置到得出结果Chapter1

论文阅读笔记 | (ECCV 2018) Learning to Navigate for Fine-grained Classification

MACNN-Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition

【Distill 系列：二】CVPR 2019 Distilling Object Detectors with Fine-grained Feature Imitation

论文阅读：Deep Image Retrieval: Learning global representations for image search

【论文精读】Deep Marching Cubes: Learning Explicit Surface Representations

【CVPR2017周博磊】Network Dissection: Quantifying Interpretability of Deep Visual Representations

论文笔记：Learning Attribute-Specific Representations for Visual Tracking

读文献：A Simple Framework for Contrastive Learning of Visual Representations心得

【自监督论文阅读笔记】Unsupervised Learning of Dense Visual Representations

A Simple Framework for Contrastive Learning of Visual Representations[论文学习] SimCLR

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