To tackle these challenges, a novel lightweight long-range context fusion network, named LightCF-Net, is proposed in this paper. This network attempts to model long-range spatial dependencies while maintaining real-time performance, to better distinguish polyps from...
Learning long-range spatial dependencies with horizontal gated-recurrent units Progress in deep learning has spawned great successes in many engineering applications. As a prime example, convolutional neural networks, a type of feedforward neural networks, are now approaching -- and sometimes even surpas...
Additionally, the ability to mine and utilize HSI local-global features and complex long-range dependencies is enhanced by the proposed transformer variant, LGPT. Ultimately, through the ingeniously designed structure of the LRDTN, the model effectively maintains its performance while reducing the ...
To this end, we propose a novel Propagation Delay-aware dynamic long-range transFormer, namely PDFormer, for accurate traffic flow prediction. Specifically, we design a spatial self-attention module to capture the dynamic spatial dependencies. Then, two graph masking matrices are introduced to high...
Hydrological discharge time series are known to depict low-frequency oscillations, long-range statistical dependencies, and pronounced nonlinearities. A better understanding of this runoff behaviour on regional scales is crucial for a variety of water management purposes and flood risk assessments. We aime...
In particular, ipsiocular and interocular pathways appear to assert their influence before binocular summation in human but have different (1) spatial tuning, (2) temporal dependencies, and (3) adaptation after-effects. Here we use mask components that fall outside the excitatory passband of the...
To capture longer-range dependencies and to re- duce the computational cost, pooling and striding are com- monly adapted over both spatial and temporal dimensions. Because the size of the receptive field increases with each layer, in theory, stacking more and more layers shoul...
We investigate the effects of disorder and shielding on quantum transports in a two dimensional system with all-to-all long range hopping. In the weak disorder, cooperative shielding manifests itself as perfect conducting channels identical to those of the short range model, as if the long range...
Recently, this design is also introduced into 3D field by LargeKernel3D [4]. Analyzing these previous works, we observe that VAN [18] gives the best results, which we believe is because it introduces non-linearity via the Hadamard product, in addition to long range dependencies....
In this paradigm, the bottleneck is the extent to which the RNN can model long-range dependencies, and the most successful approaches rely on causal convolutions, which offer better access to earlier parts of the sequence than ... X Chen,N Mishra,M Rohaninejad,... 被引量: 14发表: 2017...