most citedSwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 4 cited

SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM

Song Tang, Chuang Li, Pu Zhang +1

Integrating CNNs and RNNs to capture spatiotemporal dependencies is a prevalent strategy for spatiotemporal prediction tasks. However, the property of CNNs to learn local spatial i…

cs.CV2023

Towards Commonsense Knowledge based Fuzzy Systems for Supporting Size-Related Fine-Grained Object Detection

Pu Zhang, Tianhua Chen, Bin Liu

Deep learning has become the dominating approach for object detection. To achieve accurate fine-grained detection, one needs to employ a large enough model and a vast amount of dat…