[1604.02532] T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos

The state-of-the-art performance for object detection has been significantly improved over the past two years. Besides the introduction of powerful deep neural networks such as GoogleNet and VGG, novel object detection frameworks such as R-CNN and its successors, Fast R-CNN and Faster R-CNN, play an essential role in improving the state-of-the-art. Despite their effectiveness on still images, those frameworks are not specifically designed for object detection from videos. Temporal and contextual information of videos are not fully investigated and utilized. In this work, we propose a deep learning framework that incorporates temporal and contextual information from tubelets obtained in videos, which dramatically improves the baseline performance of existing still-image detection frameworks when they are applied to videos. It is called T-CNN, i.e. tubelets with convolutional neueral networks. The proposed framework won the recently introduced object-detection-from-video (VID) task with

1 mentions: @Maxwell_110
Date:

Referring Tweets

@Maxwell_110
@Maxwell_110 T-CNN 📝 t.co/HyDkN0Dvio T-CNN はビデオ物体検出の後処理手法(Fig. 2) - ビデオの全フレーム内の bbox のクラス確率統計から存在クラスを選定 - Optical Flow の平均を算出し bbox を並進移動 - 重複抑制しつつ bbox を time-tracking し確率を補正 により,FP/FN を低減可能とのこと t.co/6OA0kTEl1g

Related Entries

UVO - Workshop and Challenge
Read more UVO - Workshop and Challenge
0 users, 1 mentions 2021/08/25 22:37
GitHub - coolbutuseless/ggpattern: ggplot geoms with pattern fills
Read more GitHub - coolbutuseless/ggpattern: ggplot geoms with pattern fills
0 users, 1 mentions 2022/04/03 01:38
GitHub - understandable-machine-intelligence-lab/Quantus: Quantus is an eXplainable AI toolkit for r...
Read more GitHub - understandable-machine-intelligence-lab/Quantus: Quantus is an eXplainable AI toolkit for r...
0 users, 1 mentions 2022/06/14 22:38
GitHub - agnesdeng/mixgb: mixgb: multiple imputation through XGBoost
Read more GitHub - agnesdeng/mixgb: mixgb: multiple imputation through XGBoost
0 users, 1 mentions 2022/08/04 22:37
The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis | ...
Read more The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis | ...
0 users, 1 mentions 2022/09/15 22:38
Bayesian Multi-State Modelling of Chronic Disease Burden Data • disbayes
Read more Bayesian Multi-State Modelling of Chronic Disease Burden Data • disbayes
0 users, 1 mentions 2022/10/12 22:39

ML-Newsについて

機械学習の技術に関する情報は流速も早いし、分野も多様でキャッチアップが大変です。Twitterで機械学習用のリストを作っても、普段は機械学習以外の話題が多く流れており、効率的に情報収集するのは困難です。

ML-NewsはSNSを情報源とした機械学習に特化したニュースサイトです。機械学習に関する論文、ブログ、ライブラリ、コンペティション、発表資料、勉強会などの最新の情報を効率的に収集できます。

機械学習を応用した自然言語処理、画像認識、情報検索などの分野の情報や機械学習で必要になるデータ基盤やMLOpsの話題もカバーしています。
安定したサイト運営のためにGitHub sponsorを募集しています。

お知らせ

  • 2021/12/31: デザインを刷新しました
  • 2021/04/08: 日本語とKaggleのカテゴリを新設しました