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https://www.sintef.no/en/publications/publication/54319/ Improvements of teaching and tools for learning object-orientation - SINTEF for learning object orientation improvements teaching tools https://openreview.net/forum?id=VXXDcFkOn6&referrer=%5Bthe%20profile%20of%20Erik%20Learned-Miller%5D(%2Fprofile%3Fid%3D~Erik_Learned-Miller2) The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields | OpenReview A good understanding of geometrical concepts as well as a broad familiarity with objects lead to excellent human perception of moving objects. The human... the right learning object https://arxiv.org/abs/2410.03920 [2410.03920] Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object... Abstract page for arXiv paper 2410.03920: Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction learning object 2410 03920 properties using https://www.merlot.org/merlot/viewMaterial.htm?id=1355557 North Carolina Learning Object [K-20 OER] Repository north carolina learning object k 20 oer repository https://openreview.net/forum?id=lTvt6TP7O7&referrer=%5Bthe%20profile%20of%20Alessandro%20Saffiotti%5D(%2Fprofile%3Fid%3D~Alessandro_Saffiotti1) Planning for Learning Object Properties | OpenReview Autonomous agents embedded in a physical environment need the ability to recognize objects and their properties from sensory data. Such a perceptual ability is... for learning object properties planning openreview https://reorientbot.wkentaro.com/ ReorientBot: Learning Object Reorientation for Specific-Posed Placement Robots need the capability of placing objects in arbitrary, specific poses to rearrange the world and achieve various valuable tasks. Object reorientation... learning object reorientation specific posed placement https://www.laptopmag.com/articles/new-learning-object-tracking-system-called-predator-is-amazing-futuristic New Learning Object Tracking System Called Predator is Amazing, Futuristic | Laptop Mag Apr 3, 2011 - For his thesis project, University of Surrey researched Zdenek Kalal has just made a visual tracking system straight out of the wildest dreams of sci-fi.... new learning object tracking https://lectures.pharo.org/ Learning Object-Oriented Programming, Design with TDD in Pharo object oriented programming learning design tdd pharo https://www.mathworks.com/help/vision/ref/estimateanchorboxes.html estimateAnchorBoxes - Estimate anchor boxes for deep learning object detectors - MATLAB This MATLAB function estimates the specified number of anchor boxes using the training data. deep learning estimate anchor boxes object https://www.semanticscholar.org/topic/Learning-object-metadata/71036 Learning object metadata | Semantic Scholar Learning Object Metadata is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning.... learning object metadata semantic scholar https://arxiv.org/abs/2405.10598 [2405.10598] Top-Down Guidance for Learning Object-Centric Representations Abstract page for arXiv paper 2405.10598: Top-Down Guidance for Learning Object-Centric Representations top down for learning 2405 10598 guidance https://openreview.net/forum?id=iH4eyI5A7o Learning Active Camera for Multi-Object Navigation | OpenReview Unlike existing agents that always look forward, we propose an active-camera agent that coordinates the camera moving action and navigation action for... learning active camera multi object https://www.ohiohistory.org/tag/object-based-learning/ object based learning Archives - Ohio History Connection object based learning archives ohio history connection https://openreview.net/forum?id=68N8Dj6KVv Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation | OpenReview This paper present a meta-policy learning framework over plan ensembles for robust articulated object manipulation policy learning https://arxiv.org/abs/1709.06750v1 [1709.06750v1] SegFlow: Joint Learning for Video Object Segmentation and Optical Flow Abstract page for arXiv paper 1709.06750v1: SegFlow: Joint Learning for Video Object Segmentation and Optical Flow video object segmentation learning for https://deepai.org/publication/a-concept-learning-approach-to-multisensory-object-perception A Concept Learning Approach to Multisensory Object Perception | DeepAI Sep 23, 2014 - 09/23/14 - This paper presents a computational model of concept learning using Bayesian inference for a grammatically structured hypothesis s... concept learning approach multisensory object perception https://www.amazon.science/publications/self-supervised-incremental-learning-of-object-representations-from-arbitrary-image-sets Self-supervised incremental learning of object representations from arbitrary image sets - Amazon... Computing a comprehensive and robust visual representation of an arbitrary object or category of objects is a complex problem. The difficulty increases when... self supervised incremental learning https://openreview.net/forum?id=OT3mLgR8Wg8 IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes | OpenReview Building embodied intelligent agents that can interact with 3D indoor environments has received increasing research attention in recent years. While most works... explore learning https://openreview.net/forum?id=HJgfDREKDB Higher-Order Function Networks for Learning Composable 3D Object Representations | OpenReview Neural nets can encode complex 3D objects into the parameters of other (surprisingly small) neural nets higher order function for learning 3d object networks