In the encoder, we design a multi-scale bottleneck residual unit (MBRU), which combines the attention mechanism and decomposition convolution to design a parallel structure for aggregating multi-scale information, making the network perform better at processing information at different scales. In ...
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Firstly, two 3 × 3 fil- ter size convolution layer followed by Rectified Linear Unit (ReLU) extracts features. Then, a 1 × 1 filter size conv. layer followed by a sigmoid layer generates the probability map Fpm ∈ [H × W × 1]. In our experiments, H ...
Hu R, Singh A (2021) Unit: Multimodal multitask learning with a unified transformer. In: Proceedings of the IEEE/CVF international conference on computer vision, pp. 1439–1449 Tsai Y-HH, Bai S, Liang PP, Kolter JZ, Morency L-P, Salakhutdinov R (2019) Multimodal transformer for unaligned...
Table 1: Mean values of the running times of all methods on the TNO, RoadScene and LLVIP datasets (unit: second). Methods TNO RoadScene LLVIP ADF 0.1019 0.9341 6.4939 FPDE 0.2666 1.8034 19.9443 Densefuse 0.1941 4.0016 2.3342 RFNNEST 0.2472 1.8962 17.3514 FusionGAN 0.3152 6.4940 7.2457 GANMcC...
Furthermore, a selective classification network (SCNet) with a selective kernel unit is used for adaptive feature fusion. The proposed AGCNet can be trained by an end-to-end fashion without manual intervention. The experimental results are reported on four MS and PAN datasets, and compared with...
where fi ∈RD and D is a hyperparameter (typically 2048). The number of frames, typically 20, is denoted k. These features are then fed into a gated recurrent unit (GRU) to learn the sequential properties of the action. At the same time, the frames are analyzed for fram...
Finally, MHAM is integrated with the Gated Recurrent Unit (GRU) to capture the interdependence between space and time. Experimental results show that HACG exhibits superior competitiveness compared with the state-of-the-art on the UCF-101, HMDB-51, and Kinetics-400 datasets. This indicates that...
By embedding the attention mechanism combined with gated recurrent unit, the temporal information can be extracted, which not only solves the problem of long-term dependencies but also strengthens the utilization of key temporal information. We conduct extensive experiments on SEED and DEAP datasets, ...
the syndrome measurement unit is used to determine the presence of errors in the codes by comparing the expected state to the actual state. The error decoder effectively processes the syndrome information to find out the occurrences of errors. Once the type of error is determined, the error corr...