Machine-learning methods for computational science and engineering
M Frank, D Drikakis, V Charissis - Computation, 2020 - mdpi.com
The re-kindled fascination in machine learning (ML), observed over the last few decades,
has also percolated into natural sciences and engineering. ML algorithms are now used in …
has also percolated into natural sciences and engineering. ML algorithms are now used in …
Learnable pooling with context gating for video classification
Current methods for video analysis often extract frame-level features using pre-trained
convolutional neural networks (CNNs). Such features are then aggregated over time eg, by …
convolutional neural networks (CNNs). Such features are then aggregated over time eg, by …
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 …
Collaborative deep metric learning for video understanding
J Lee, S Abu-El-Haija, B Varadarajan… - Proceedings of the 24th …, 2018 - dl.acm.org
The goal of video understanding is to develop algorithms that enable machines understand
videos at the level of human experts. Researchers have tackled various domains including …
videos at the level of human experts. Researchers have tackled various domains including …
Exploring cross-video matching for few-shot video classification via dual-hierarchy graph neural network learning
Few-shot video classification methods aim to recognize a new class with only a few training
examples. Distinct from previous few-shot methods, we explicitly consider the relations in …
examples. Distinct from previous few-shot methods, we explicitly consider the relations in …
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 …
Non-local netvlad encoding for video classification
This paper describes our solution for the 2nd YouTube-8M video understanding challenge
organized by Google AI. Unlike the video recognition benchmarks, such as Kinetics and …
organized by Google AI. Unlike the video recognition benchmarks, such as Kinetics and …
Satellite Video Multi-Label Scene Classification With Spatial and Temporal Feature Cooperative Encoding: A Benchmark Dataset and Method
W Guo, S Li, F Chen, Y Sun, Y Gu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Satellite video multi-label scene classification predicts semantic labels of multiple ground
contents to describe a given satellite observation video, which plays an important role in …
contents to describe a given satellite observation video, which plays an important role in …
Building a size constrained predictive model for video classification
M Skalic, D Austin - Proceedings of the European …, 2018 - openaccess.thecvf.com
Herein we present the solution to the 2nd YouTube-8M video understanding challenge
which placed 1st. Competition participants were tasked with building a size constrained …
which placed 1st. Competition participants were tasked with building a size constrained …
Global feature aggregation for accident anticipation
Anticipation of accidents ahead of time in autonomous and non-autonomous vehicles aids in
accident avoidance. In order to recognize abnormal events such as traffic accidents in a …
accident avoidance. In order to recognize abnormal events such as traffic accidents in a …