IEEE

Dynamic Manipulation of Deformable Objects using Imitation Learning with Adaptation to Hardware Constraints

Abstract: Imitation Learning (IL) is a promising paradigm for learning dynamic manipulation of deformable objects since it does not depend on difficult-to-create accurate simulations of such objects.
GitHub

MP2CDLO: Self-supervised Learning of Reconstructing Deformable Linear Objects under Single-Frame Occluded View

Create conda environments and active it. conda create -n MP2CDLO python=3.9 conda activate MP2CDLO Install torch1.13.0+cu117. pip install torch==1.13.0+cu117 ...
Computer Weekly

TII’s Falcon-H1 Arabic sets global standard for Arabic AI

Abu Dhabi’s Technology Innovation Institute (TII) has unveiled Falcon-H1 Arabic, a large language model that establishes ...
IEEE

DFDNet: Deep Feature Decoupling for Oriented Object Detection

Abstract: Objects in remote sensing images exhibit diverse orientations. Current oriented object detection (OOD) methods estimate the object angle by designing different loss functions and bounding ...