論文筆記之： Bilinear CNN Models for Fine-grained Visual Recognition
Bilinear CNN Models for Fine-grained Visual Recognition CVPR 2015 本文提出了一種雙線性模型( bilinear models)，一種識別結構，該結構由兩個特征提取器產生，兩個輸出是圖像每一個位置的外積 ...
原文：Multi-Modal Domain Adaptation for Fine-Grained Action Recognition--論文
文章題目：多模態域自適應的細粒度動作識別 引言 首先明確幾個名詞含義。 Multi Modal 多模態 ：每種信息來源可以稱作一個模態，多模態就是同時處理兩種或兩種以上的信息來源。例如一個視頻有視覺 聽覺 字幕等，同時考慮視覺，聽覺就是多模態方法。 Domain Adaptation 域自適應 ：這是一種遷移學習的方法，它主要利用有着豐富監督信息的source域樣本，來提升target域模型的性能 ...
2020-10-01 14:51 0 668 推薦指數：
相關推薦
[論文理解] Destruction and Construction Learning for Fine-grained Image Recognition
Destruction and Construction Learning for Fine-grained Image Recognition Intro 本文提出一種細粒度圖像分類的方法，即將原圖像拼圖一樣shuffle成不同的block，丟進一個分類器，當然，直接這樣訓練會引入 ...
論文筆記之：Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition
Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition 細粒度的識別（Fine-grained ...
細粒度 - Interpretable and Accurate Fine-grained Recognition via Region Grouping - 1 - 論文學習
Interpretable and Accurate Fine-grained Recognition via Region Grouping Abstract ...
細粒度 - Selective Sparse Sampling for Fine-grained Image Recognition - 1 - 論文學習
參考代碼 https://github.com/Yao-DD/S3N Selective Sparse Sampling for Fine-grained Image Recognition ...
細粒度 - Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches - 1 - 論文學習
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches abstract 細粒度可視分類 ...
[論文筆記] Fine-Grained Head Pose Estimation Without Keypoints
Fine-Grained Head Pose Estimation Without Keypoints 簡介 head pose estimation 經典論文，使用CNN預測三個角度值，pitch,yaw,roll,本文提出一種combined classification ...
Multi-modal Knowledge Graphs for Recommender Systems - 1 - 論文學習
Multi-modal Knowledge Graphs for Recommender Systems ABSTRACT 在各種在線應用中，推薦系統在解決信息爆炸問題和增強用戶體驗方面顯示出了巨大的潛力 ...