- A Hybrid Transformer|LSTM Model With 3D Separable Convolution ...🔍
- A Hybrid Transformer LSTM Model With 3D Separable Convolution ...🔍
- Separable Convolutional LSTMs for Faster Video Segmentation🔍
- RETRACTED ARTICLE🔍
- A hybrid convolution transformer for hyperspectral image classification🔍
- Hybrid Convolutional Network Combining 3D Depthwise Separable ...🔍
- An Attention|based Hybrid 2D/3D CNN|LSTM for Human Action ...🔍
- ICCV 2023 Open Access Repository🔍
A Hybrid Transformer|LSTM Model With 3D Separable Convolution ...
A Hybrid Transformer-LSTM Model With 3D Separable Convolution ...
We propose a novel video prediction network 3DTransLSTM, which adopts a hybrid transformer-long short-term memory (LSTM) structure to inherit the merits of ...
A Hybrid Transformer-LSTM Model With 3D Separable Convolution ...
Three-dimensional (3D) depthwise separable convolutions are used in this hybrid structure to extract spatiotemporal features, meanwhile enhancing model ...
(PDF) A Hybrid Transformer-LSTM Model With 3D Separable ...
Three-dimensional (3D) depthwise separable convolutions are used in this hybrid structure to extract spatiotemporal features, meanwhile enhancing model ...
A Hybrid Transformer LSTM Model With 3D Separable Convolution ...
A Hybrid Transformer LSTM Model With 3D Separable Convolution for Video Prediction https://ifoxprojects.com/ IEEE PROJECTS 2024-2025 TITLE LIST WhatsApp ...
Separable Convolutional LSTMs for Faster Video Segmentation
A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction. Article. Full-text available. Jan 2024. Mareeta Mathai ...
RETRACTED ARTICLE: Hybrid CNN-LSTM model with efficient ...
This research presents a hybrid model utilizing improved speech signals with dynamic feature breakdown using CNN and LSTM.
2024. New: A hybrid transformer-LSTM model with 3D separable convolution for video prediction. M. Mathai, Y. Liu, N. Ling, IEEE Access, pp. 39589 - 39602 ...
A hybrid convolution transformer for hyperspectral image classification
We propose a hybrid convolution transformer framework. Our method uses a vision transformer and a residual 3D convolutional neural network model.
Hybrid Convolutional Network Combining 3D Depthwise Separable ...
... model, it does not specifically reduce the consumption of 3D convolution. Howard et al. proposed depthwise separable convolution in order to reduce the ...
An Attention-based Hybrid 2D/3D CNN-LSTM for Human Action ...
The developed model was trained and evaluated using the KTH dataset and achieved promising recognition performance compared to state-of-the-art methods.
3DUV-NetR+: A 3D hybrid semantic architecture using transformers ...
In addition, a final convolution block is applied to get the segmented tumor. To this end, the model is evaluated on the BraTS 2020 dataset to segment different ...
ICCV 2023 Open Access Repository
To address these issues, we introduce a hybrid approach that combines the advantages of both models with a Spatial-Spectral Separable Convolution (S3Conv), ...
Heracles: A Hybrid SSM-Transformer Model for High-Resolution ...
Mamba-based architectures use localized convolution networks in series to the SSM, whereas Heracles uses the convolution in parallel with the ...
AE block with 3D separable convolutions. Page 14. Separable RPM. • N blocks each consisting of: • Separable ST- LSTM module. • Separable attention module.
[PDF] Eidetic 3D LSTM: A Model for Video Prediction and Beyond
A lightweight model using 3D separable convolutions is proposed, which can predict future video frames with reduced model size and reasonable accuracy ...
A novel hybrid transformer-CNN architecture for environmental ...
... separable convolution operations ... model to acquire local features via the convolution operations integrated in the transformer model.
Transformer-enhanced two-stream complementary convolutional ...
[17] design a spectral-spatial residual model to iteratively extract discriminant spectral signatures and spatial information. The network uses 3D convolution ...
A hybrid approach consisting of 3D depthwise separable ... - OUCI
... transformer with multiscale 3D atrous convolution for hyperspectral image classification. Eng Appl Artif Intell 26:107070. https://doi.org/10.1016/j ...
Hybrid transformer-CNN with boundary-awareness network for 3D ...
A 3D boundary-guided hybrid network with convolutions and Transformers for lung tumor segmentation in CT images · Lightweight U-Net based on depthwise separable ...
CNNs, RNNs and Transformers in Human Action Recognition - arXiv
[92] further contributed by conducting a comprehensive analysis of spatio-temporal convolutions, highlighting the benefits of factorizing 3D ...