Dataset Groups Activity Stream PointCloud Saliency Maps A saliency map is constructed for 3D point-clouds to measure the contribution (importance) of each point in a point cloud to model prediction loss. BibTex: @dataset{Tianhang_Zheng_and_Changyou_Chen_and_Junsong_Yuan_and_Bo_Li_and_Kui_Ren_2024, abstract = {A saliency map is constructed for 3D point-clouds to measure the contribution (importance) of each point in a point cloud to model prediction loss.}, author = {Tianhang Zheng and Changyou Chen and Junsong Yuan and Bo Li and Kui Ren}, doi = {10.57702/np7q0wjn}, institution = {No Organization}, keyword = {'3D Point Clouds', 'Point Cloud Recognition', 'Saliency Maps'}, month = {dec}, publisher = {TIB}, title = {PointCloud Saliency Maps}, url = {https://service.tib.eu/ldmservice/dataset/pointcloud-saliency-maps}, year = {2024} }