Large-scale Video Classification with Convolutional Neural Networks
1. Introduction 圖像和視頻在互聯網上變得無所不在，這鼓勵了開發可以分析其語義內容的不同應用程序的算法，包括搜索和摘要。近來，卷積神經網絡（CNN）[15]已經被證明是一種有效的模型，用於理解圖像內容，爲圖像識別，分割，檢測和檢索提供了最先進的結果[11,3,2， 20，9，18]。這些結果背後的關鍵因素是將網絡擴展到數千萬個參數和可以支持學習過程的大量標籤數據集的技術
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相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 3. 【論文學習】Large-scale Video Classification with Convolutional Neural Networks
- 4. 【論文閱讀筆記】Large-scale Video Classification with Convolutional Neural Networks
- 5. CV論文筆記（二） Large-scale Video Classification with Convolutional Neural Networks
- 6. 行爲識別論文閱讀 | Large-scale Video Classification with Convolutional Neural Networks
- 7. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 8. 論文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 9. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 10. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》