View while moving: Efficient video recognition in long-untrimmed videos
Recent adaptive methods for efficient video recognition mostly follow the two-stage
paradigm of" preview-then-recognition" and have achieved great success on multiple video …
paradigm of" preview-then-recognition" and have achieved great success on multiple video …
[HTML][HTML] Deep learning based decoding of single local field potential events
How is information processed in the cerebral cortex? In most cases, recorded brain activity is
averaged over many (stimulus) repetitions, which erases the fine-structure of the neural …
averaged over many (stimulus) repetitions, which erases the fine-structure of the neural …
The brain-inspired decoder for natural visual image reconstruction
W Li, S Zheng, Y Liao, R Hong, C He, W Chen… - Frontiers in …, 2023 - frontiersin.org
The visual system provides a valuable model for studying the working mechanisms of
sensory processing and high-level consciousness. A significant challenge in this field is the …
sensory processing and high-level consciousness. A significant challenge in this field is the …
Cost-effective Modality Selection for Video Popularity Prediction
Y Liu, M Yang, Y Tian, L Zhang, X Que… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
Video popularity prediction, also known as predicting the future popularity of a video, is a
task that generally uses various modalities of the video, such as visual, audio, text, and …
task that generally uses various modalities of the video, such as visual, audio, text, and …
Multi-scale full spike pattern for semantic segmentation
Spiking neural networks (SNNs), as the brain-inspired neural networks, encode information
in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to …
in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to …
Deep learning based decoding of local field potential events
How is information processed in the cerebral cortex? To answer this question a lot of effort
has been undertaken to create novel and to further develop existing neuroimaging …
has been undertaken to create novel and to further develop existing neuroimaging …
Transfer learning to decode brain states reflecting the relationship between cognitive tasks
Transfer learning improves the performance of the target task by leveraging the data of a
specific source task: the closer the relationship between the source and the target tasks, the …
specific source task: the closer the relationship between the source and the target tasks, the …
Dekódování vizuálních podnětů z kortikální aktivity pomocí neuronových sítí
S Jan - 2024 - dspace.cvut.cz
Tato práce zkoumá použití technik hlubokého učení pro rekonstrukci vizuálních podnětů z
neuronální aktivity v primární zrakové oblasti (V1). Zaměřuje se na překonání nedostatku …
neuronální aktivity v primární zrakové oblasti (V1). Zaměřuje se na překonání nedostatku …
Multilevel Product Classification Using Machine Learning Algorithms Sowjanya
RV Arjunan, DV Babu - … on Artificial Intelligence For Internet of …, 2024 - ieeexplore.ieee.org
Platforms for e-commerce commonly employ a preestablished, organized structure of
product classifications. Traditional product categorization methods have primarily relied on …
product classifications. Traditional product categorization methods have primarily relied on …