EURECOM at TRECVid AVS 2019

This notebook reports the model and results of the EURECOM runs at TRECVID AVS 2019.

[1]  Sergey Ioffe,et al.  Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.

[2]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Paul Over,et al.  Creating HAVIC: Heterogeneous Audio Visual Internet Collection , 2012, LREC.

[4]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Yale Song,et al.  TGIF: A New Dataset and Benchmark on Animated GIF Description , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[6]  Jonathan G. Fiscus,et al.  TRECVID 2019: An evaluation campaign to benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & retrieval , 2019, TRECVID.

[7]  Nitish Srivastava,et al.  Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..

[8]  Tao Mei,et al.  MSR-VTT: A Large Video Description Dataset for Bridging Video and Language , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Ting Yao,et al.  VIREO @ TRECVID 2014: Instance Search and Semantic Indexing , 2014, TRECVID.

[10]  Bolei Zhou,et al.  Places: A 10 Million Image Database for Scene Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Pietro Perona,et al.  Microsoft COCO: Common Objects in Context , 2014, ECCV.

[12]  David J. Fleet,et al.  VSE++: Improving Visual-Semantic Embeddings with Hard Negatives , 2017, BMVC.

[13]  Benoit Huet,et al.  Fusion of Multimodal Embeddings for Ad-Hoc Video Search , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

[14]  Yuan Yu,et al.  TensorFlow: A system for large-scale machine learning , 2016, OSDI.

[15]  Jordi Pont-Tuset,et al.  The Open Images Dataset V4 , 2018, International Journal of Computer Vision.