Abstract: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos. The ...
Abstract: Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained ...
Abstract: The current data scarcity problem in EEG-based emotion recognition tasks leads to difficulty in building high-precision models using existing deep learning methods. To tackle this problem, a ...
Turning Point USA livestreamed its halftime show on YouTube. Alex Wroblewski / Getty Images Streamed opposite Bad Bunny’s Super Bowl halftime performance, Turning Point USA’s “All-American Halftime ...
The organization hosted the event to counterprogram against Bad Bunny's Super Bowl performance. By Hannah Dailey This Super Bowl Sunday, viewers had not one, but two choices for mid-game entertainment ...
Abstract: Community discovery is an essential research area with significant real-world applications. Lately, Graph Convolutional Networks (GCNs) have gained popularity for their ability to ...
Third Person Shooter Saving blueprints after an Expedition isn't 'off the table', says Arc Raiders' director, but Embark is also looking at alternatives Third Person Shooter All materials required to ...
Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
Abstract: Although the vision transformer-based methods (ViTs) exhibit an excellent performance than convolutional neural networks (CNNs) for image recognition tasks, their pixel-level semantic ...
Abstract: Considering the impact of operation and maintenance costs and technology, there is generally a lack of sufficient meteorological observation devices within the distributed photovoltaic (PV) ...