MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
The Research group of Dr. Samiran Das, Department of Data Science and Engineering has developed “MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. The proposed model uses mask-based classification approach reflecting a paradigm shift. The work also incorporates deformable attention and cross attention-based encoder for learning efficient spatio-temporal representation. The work achieved accurate change maps as demonstrated in several experiments.” For more details, kindly visit https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10587034.
