WebFeb 15, 2024 · In this paper, we introduce Gated Fusion Network for dynamic saliency (GFSalNet), the first deep saliency model capable of making predictions in a dynamic way via gated fusion mechanism. Moreover, our model also exploits spatial and channel-wise attention within a multi-scale architecture that further allows for highly accurate predictions. WebMar 31, 2024 · Gated Fusion Network for Single Image Dehazing. Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang. In this paper, we propose an efficient algorithm to directly restore a clear image from a hazy input. The proposed algorithm hinges on an end-to-end trainable neural network that consists of an …
Multilayer Feature Fusion Network With Spatial Attention and …
WebNov 19, 2024 · Then, a gated fusion mechanism consisting of a forget gate and an output gate is applied to integrate the multiple pieces of information to extent. The forget gate calculated by the multiple embeddings is built to integrate the association information into … WebApr 14, 2024 · Experimental results on COCO demonstrate that performing the Multi-Resolution Attention mechanism learns more refined candidate regions and improves accuracy. Furthermore, we design a Fusion Gate module consisting of two gates to pixel-wise select valid information from the auxiliary views, which significantly alleviates … splatoon weapon types
A Gated Fusion Network for Dynamic Saliency Prediction
Webpassing neural network and a novel-gated fusion mechanism called GLGMPNN is proposed for drug–disease association prediction. First, a light-gated message passing … WebFeb 4, 2024 · To address these two limitations, a novel end-to-end joint entity and relation extraction model, called Gated and Attentive Network Collaborative Extracting (GANCE), is proposed in this paper. Firstly, the label information is exploited in GANCE, and then a gating mechanism is applied to fuse token and label information dynamically. WebFeb 11, 2024 · The Gated Multimodal Embedding LSTM with Temporal Attention model is proposed that is composed of 2 modules and able to perform modality fusion at the word level and is able to better model the multimodal structure of speech through time and perform better sentiment comprehension. Expand. 178. PDF. splatoon whale