1const s=`<p class="title-box green">Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space</p> 2<p class="subtitle-box green"> Encoder / Decoder with Transporter Network</p> 3 4<div style="height:290px"> 5 <div class="fig-container" data-module="/slidedecks/figures/cophy/transporter.js"></div> 6</div> 7 8<div class="fragment"></div> 9<div class="fragment"></div> 10<div class="fragment"></div> 11<div class="row fragment fs-5 mt-2" style="height:175px"> 12 <div class="col r-stack"> 13 <video data-autoplay src="assets/cophy/model/transporter4.mp4" height="175px"></video> 14 <p class="m-0">4 keypoints</p> 15 </div> 16 <div class="col r-stack"> 17 <video data-autoplay src="assets/cophy/model/transporter8.mp4" height="175px"></video> 18 <p class="m-0">8 keypoints</p> 19 </div> 20 <div class="col r-stack"> 21 <div style="width: 100%"> 22 <video data-autoplay src="assets/cophy/model/transporter16.mp4" 23 height="175px"></video> 24 </div> 25 <p class="m-0">16 keypoints</p> 26 </div> 27</div> 28<div class="row fs-6 mt-2 mb-4"> 29 <div class="col"> 30 <ul class="rectangle-list" style="width:80%;margin:auto"> 31 <li class="red"> Temporal consistency</li> 32 </ul> 33 </div> 34 <div class="col"> 35 <ul class="rectangle-list" style="width:80%;margin:auto"> 36 <li class="red"> Disentengling Features / Keypoints</li> 37 </ul> 38 </div> 39</div> 40 41<div class="citation mt-5">- Kulkarni et al. (2019). Unsupervised learning of 42 object keypoints for perception and control. NeurIPS</div> 43`;export{s as default};
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