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Ricard Marxer<p>[1/8] Homography-Based Loss Function for Camera Pose Regression ℒ 🟰 | 📸➖📷| ²</p><p>Joint work with Clémentin Boittiaux, Claire Dune, Aurélien Arnaubec and Vincent Hugel.</p><p>Paper: <a href="https://arxiv.org/abs/2205.01937" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">arxiv.org/abs/2205.01937</span><span class="invisible"></span></a></p><p><a href="https://sigmoid.social/tags/ComputerVision" class="mention hashtag" rel="tag">#<span>ComputerVision</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="tag">#<span>AI</span></a> <a href="https://sigmoid.social/tags/DL" class="mention hashtag" rel="tag">#<span>DL</span></a> <a href="https://sigmoid.social/tags/VisualLocalization" class="mention hashtag" rel="tag">#<span>VisualLocalization</span></a> <a href="https://sigmoid.social/tags/AR" class="mention hashtag" rel="tag">#<span>AR</span></a> <a href="https://sigmoid.social/tags/SLAM" class="mention hashtag" rel="tag">#<span>SLAM</span></a> <a href="https://sigmoid.social/tags/Robotics" class="mention hashtag" rel="tag">#<span>Robotics</span></a></p><p>Enter <a href="https://sigmoid.social/tags/PaperThread" class="mention hashtag" rel="tag">#<span>PaperThread</span></a> 🧵👇</p>