RESOURCES
The resources we released up to now include:
Database of object properties and measurements for robot manipulation
https://cmp.felk.cvut.cz/ipalmVisuo-haptic shape completion - simulation environment, dataset, benchmark:
https://github.com/ctu-vras/visuo-haptic-shape-completionSingle-grasp deformable object discrimination:
https://osf.io/zetg3/Recognizing materials from impact sounds: https://osf.io/4tcp6/, https://osf.io/bj5w8/
Elasticity estimation of soft objects using robot grippers: https://osf.io/gec6s
https://gitlab.fel.cvut.cz/body-schema/ipalm/ipalm-vir2020-object-category-from-image
https://github.com/enriccorona/GanHand
https://github.com/enriccorona/YCB_Affordance
D-NeRF algorithm for multiview 3D reconstruction and synthesis of deformable objects:
objects: https://www.albertpumarola.com/research/D-NeRF/index.html
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss:
https://github.com/yuruntian/HyNet
https://github.com/axelBarroso/Key.Net
https://github.com/axelBarroso/HDD-Net
SHOP-VRB: Visual Reasoning Benchmark for Object Perception
https://michaal94.github.io/SHOP-VRB/
Material segmentation:
https://github.com/dulucas/Material_Segmentation_PyTorchBox2Seg algorithm (given an image with a bounding box, the network predicts a binary mask for the object in the bounding box):
https://github.com/dulucas/refinement_netClass-agnostic Mask R-CNN for object detection and instance segmentation:
https://github.com/dulucas/ClassAgnostic_MaskRCNN
Plane detection given a depth map:
https://github.com/dulucas/plane_detection_RGBDDetecting and Filtering Primitives to Fit a Noisy Point Cloud
https://michaelramamonjisoa.github.io/projects/MonteBoxFinderHands and Object Interactions for Accurate 3D Pose Estimation
https://github.com/shreyashampali/kypt_transformerUVO_Challenge
https://github.com/dulucas/UVO_Challenge
Templates for 3D Object Pose Estimation
https://nv-nguyen.github.io/template-pose/