Efficient video classification using fewer frames
S Bhardwaj, M Srinivasan… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Recently, there has been a lot of interest in building compact models for video classification
which have a small memory footprint (< 1 GB). While these models are compact, they …
which have a small memory footprint (< 1 GB). While these models are compact, they …
Exploiting learnable joint groups for hand pose estimation
In this paper, we propose to estimate 3D hand pose by recovering the 3D coordinates of
joints in a group-wise manner, where less-related joints are automatically categorized into …
joints in a group-wise manner, where less-related joints are automatically categorized into …
An empirical study on bugs inside tensorflow
In recent years, deep learning has become a hot research topic. Although it achieves
incredible positive results in some scenarios, bugs inside deep learning software can …
incredible positive results in some scenarios, bugs inside deep learning software can …
The 2nd youtube-8m large-scale video understanding challenge
We hosted the 2nd YouTube-8M Large-Scale Video Understanding Kaggle Challenge and
Workshop at ECCV'18, with the task of classifying videos from frame-level and video-level …
Workshop at ECCV'18, with the task of classifying videos from frame-level and video-level …
BERT for large-scale video segment classification with test-time augmentation
T Liu, Q Shao - arXiv preprint arXiv:1912.01127, 2019 - arxiv.org
This paper presents our approach to the third YouTube-8M video understanding competition
that challenges par-ticipants to localize video-level labels at scale to the pre-cise time in the …
that challenges par-ticipants to localize video-level labels at scale to the pre-cise time in the …