(2006) `Action learning dissertations: structure, supervision and examination', Action Learning Research and Practice, 3(2): 127-139.Coghlan, D., & Pedler, M. (2006). Action learning dissertations: structure, supervision and examination. Action Learning: Research and Practice, 3(2), 127...
This project applied Action Learning to a leading problem in agricultural safety. Tractor overturns are the leading cause of fatal injury to farmworkers. This cause of injury is preventable using rollover protective structures (ROPS), protective equipment that functions as a roll bar structure to ...
Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency Zijia Lu Northeastern Univeristy lu.zij@northeastern.edu Ehsan Elhamifar Northeastern University e.elhamifar@northeastern.edu Abstract We address the problem of set-supervised acti...
We argue that mid-level representations can bridge the gap between existing low-level models, which are incapable of capturing the structure of interactive... Saenko, K,Packer, B,C Chen,... 被引量: 6发表: 2012年 Learning Mid-level Words on Riemannian Manifold for Action Recognition LIU M ...
Multi-expert human action recognition with hierarchical super-class learning 2022, Knowledge-Based Systems Citation Excerpt : Ultimately, the state-of-the-art studies regarding data imbalance issue are described in more detail. In recent years, numerous methods in visual object classification [25], ob...
learning network (TSLN). The overall pipeline of HSR-TSL is shown in Fig. 1. For spatial structures of the skeleton, a hierarchical spatial reasoning network is proposed to capture the high-level spatial structural features within each frame. As discussed above, human body structure contains two...
This is the official PyTorch implementation of the paper "Know Your Action Set: Learning Action Relations for Reinforcement Learning" (ICLR 2022). Problem Intelligent agents adapt task solutions based on how the given actions relate to each other. ...
This should result in a demonstration dataset indata/demo_pusht_realwith in the same structure as our examplereal Push-T training dataset. To train a Diffusion Policy, launch training with config: (robodiff)[diffusion_policy]$ python train.py --config-name=train_diffusion_unet_real_image_work...
This workshop paper focuses on the type, format, and pedagogical implications of a course-work design, introduced and developed as an integral part of the teaching strategy, learning processes and assessment procedures for the 'Project Management' module taught as an 'elective' in the final year...
Phase two (scoping and context) set the context for social learning by identifying the political and physical reach of the LAA and membership levels (organising, core and wider group). Membership was limited to academics and tactical stakeholders, i.e. individuals who can directly implement changes...