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Robot learning in the era of foundation models: A survey
X **, a
substantial performance gap persists between the capabilities of these methods on existing …
substantial performance gap persists between the capabilities of these methods on existing …
UniAff: A unified representation of affordances for tool usage and articulation with vision-language models
Previous studies on robotic manipulation are based on a limited understanding of the
underlying 3D motion constraints and affordances. To address these challenges, we …
underlying 3D motion constraints and affordances. To address these challenges, we …
PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments
Abstract We introduce PACE (Pose Annotations in Cluttered Environments), a large-scale
benchmark designed to advance the development and evaluation of pose estimation …
benchmark designed to advance the development and evaluation of pose estimation …
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
We present NeuralLabeling, a labeling approach and toolset for annotating 3D scenes using
either bounding boxes or meshes and generating segmentation masks, affordance maps …
either bounding boxes or meshes and generating segmentation masks, affordance maps …
HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos
We introduce HOT3D, a publicly available dataset for egocentric hand and object tracking in
3D. The dataset offers over 833 minutes (more than 3.7 M images) of multi-view …
3D. The dataset offers over 833 minutes (more than 3.7 M images) of multi-view …
[HTML][HTML] Learning by Demonstration of a Robot Using One-Shot Learning and Cross-Validation Regression with Z-Score
We introduce a One-Shot Learning system where a robot effectively learns how to
manipulate objects by relying solely on the object's name, a single image, and a visual …
manipulate objects by relying solely on the object's name, a single image, and a visual …