Abstract: To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip ...
We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
Abstract: Change detection aims to detect changes of objects or scenes in remote sensing images, which is critical for observing the Earth’s surface. However, due to the insufficient correlation and ...
This repository presents cutting-edge decoder architectures integrated with Transformer networks for semantic segmentation of remotely sensed images. Building upon my prior research in remote sensing ...
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