Visual Recognition and Search资源 - 代码天地

Visual Recognition and Search资源

其他 2018-07-20 17:39:17 阅读次数: 0

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转载自blog.csdn.net/uncle_ll/article/details/81033341

Visual Recognition and Search资源

Bottleneck Transformers for Visual Recognition

Funnel Activation for Visual Recognition(FReLU)

Selective Search for Object Recognition

ImageNet Large Scale Visual Recognition Challenge

【论文阅读】Action Recognition Using Visual Attention

Backbone - Involution: Inverting the Inherence of Convolution for Visual Recognition

[PaperRead]Gated Channel Transformation for Visual Recognition

[论文分享]VOLO: Vision Outlooker for Visual Recognition

Selective Search for Object Recognition Selective Search for Object Recognition(阅读)

Selective Search for Object Recognition记录

Selective Search for Object Recognition（理解）

Segmentation as Selective Search for Object Recognition

CS231n Convolutional Neural Networks for Visual Recognition

《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》阅读笔记

论文阅读 Deep Attentional Structured Representation Learning for Visual Recognition

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

CVPR2018 Tutorial 之 Visual Recognition and Beyond

回环检测的论文翻译LDSO，Visual Place Recognition等

《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》笔记

ILSVRC竞赛详细介绍（ImageNet Large Scale Visual Recognition Challenge）

Facial Expression Recognition using Visual Saliency and Deep Learning

SPP NET (Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition)

SPP: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

CS231n:Convolutional Neural Networks for Visual Recognition

【CVPR2020】Gated Channel Transformation for Visual Recognition

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition论文细读

Adaptive Text Recognition through Visual Matching —— 论文阅读笔记

Counterfactual Zero-Shot and Open-Set Visual Recognition

【论文翻译】Deep High-Resolution Representation Learningfor Visual Recognition

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