Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...
2022-11 [NEW:fire:] Some useful training tips have been provided. 2022-11 The distillation codes and some training tips will be released after CVPR DDL. 2022-7 We provide a trained model of CENet, a ...
Each folder is a benchmark and contains the program data. The most important files in each folder are as follow: data_test.py: Data acquisition and processing module. def get_node: Identifying ...
Abstract: 4D LiDAR semantic segmentation classifies the semantic category of each LiDAR point and detects whether it is dynamic, a critical ability for tasks like obstacle avoidance and autonomous ...
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