WebAug 24, 2024 · Therefore, we propose a novel collaborative attention-based heterogeneous gated fusion network (CHGFNet), which hierarchically fuses both optical and SAR features for land cover classification. More specifically, the CHGFNet consists of three main components: two-stream feature extractor, multimodal collaborative attention module … WebApr 3, 2024 · The proposed gated fully fusion module, where G l is the gate map generated from X l , and features corresponding high gate values are allowed to send out and regions with low gate values are ...
Controllable Video Captioning With POS Sequence Guidance …
WebJul 27, 2024 · We propose a deep gated fusion convolution neural network to generate a clear high-resolution frame from a single natural image with severe blur. By decomposing the feature extraction step into two task-independent streams, the dual-branch design can facilitate the training process by avoiding learning the mixed degradation all-in-one and … WebSep 7, 2024 · Abstract. Video super-resolution (VSR) has drawn much attention in research community recently. As the typical three-dimensional (3D) signals, how to exploit spatio-temporal features in videos effectively and efficiently is critical for VSR. Most methods explore spatio-temporal feature through optical flow estimation and motion compensation. hamilton 1710
Deformable Object Tracking With Gated Fusion - IEEE Xplore
WebNov 1, 2024 · The gated fusion layer is introduced to effectively combine the multi-frame local and temporal features from previous frames for current frame reconstruction. As illustrated in Fig. 3 , the proposed fusion operation is composed of three layers: average pooling, convolution, and gated sigmoid layer. WebAug 31, 2024 · A gated fusion network consists of a series of gating layers, which can select relevant features and suppress unnecessary input components. Then, we proposed a hierarchical adaptive graph convolution network in the spatial dimension by learning different adjacency matrices at different network layers to better capture multi-level spatial ... WebJan 19, 2024 · Prognostics and health management is an engineering discipline that aims to support system operation while ensuring maximum safety and performance. Prognostics is a key step of this framework, focusing on developing effective maintenance policies based on predictive methods. Traditionally, prognostics models forecast the degradation process … hamilton 1701