Projects in Awesome Lists tagged with multi-resolution

https://github.com/ethz-asl/wavemap

Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping

3d compression cpp grid-map hierarchical mapping multi-resolution occupancy occupancy-grid-map perception robotics ros volumetric wavelet

Last synced: 04 Oct 2025

https://github.com/snap-stanford/lamp

[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing

controllable learned-simulation mesh-based multi-resolution physics-simulation reinforcement-learning

Last synced: 02 Jul 2025

https://github.com/fitushar/weaklysupervised-3d-classification-of-chest-ct-using-aggregated-multiresolution-segmentation-feature

This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)

3d 3d-cnn ct-imaging deep-learning densevnet3d feature-aggregation lung-disease multi-label-classification multi-label-loss multi-resolution segmentation-features segmentation-models spie-cad spie-cad-2020 tensorflow2 tfrecords weakly-supervised-classification weakly-supervised-learning weight-binary-crossentrophy weighted-loss

Last synced: 22 Apr 2025

https://github.com/fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature

This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)

3d 3d-cnn ct-imaging deep-learning densevnet3d feature-aggregation lung-disease multi-label-classification multi-label-loss multi-resolution segmentation-features segmentation-models spie-cad spie-cad-2020 tensorflow2 tfrecords weakly-supervised-classification weakly-supervised-learning weight-binary-crossentrophy weighted-loss