Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation

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Segmentation", "abstract": "No code available yet.", "author": [ { "@type": "Person", "@id": "#Chuandong_Liu", "name": "Chuandong Liu", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Xingxing_Weng", "name": "Xingxing Weng", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Shuguo_Jiang", "name": "Shuguo Jiang", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Pengcheng_Li", "name": "Pengcheng Li", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Lei_Yu", "name": "Lei Yu", "image": "https://paperswithcode.com/static/" }, { "@type": "Person", "@id": "#Gui-Song_Xia", "name": "Gui-Song Xia", "image": "https://paperswithcode.com/static/" } ], "datePublished": "2024-08-21" } }</script> <meta name="theme-color" content="#fff"/> <link rel="manifest" href="https://production-assets.paperswithcode.com/static/manifest.web.json"> </head> <body> <nav class="navbar 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<th>MODEL</th> <th>METRIC NAME</th> <th>METRIC VALUE</th> <th>GLOBAL RANK</th> <th>REMOVE</th> </tr> </table> </div> </div> </form> </div> </div> </div>  <div class="modal fade" id="addTask" role="dialog" aria-labelledby="addTaskLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="addTaskLabel">Add a task</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <div class="current-tasks-title">Attached tasks:</div> <ul class="list-unstyled"> <li> <a href="/task/3d-semantic-segmentation"> <span class="badge badge-primary">3D SEMANTIC SEGMENTATION</span> </a> </li> </ul> <ul class="list-unstyled"> <li> <a href="/task/data-augmentation"> <span class="badge badge-primary">DATA AUGMENTATION</span> </a> </li> </ul> <ul class="list-unstyled"> <li> <a 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data-autocomplete-light-url="/task-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div class="modal-help-text"> Not in the list?<br/> <a href="#" id="new-task-form-toggle"> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Create a new task</a>. </div> <div id="new-task-form" style="display: none"> <div id="div_id_new_task_name" class="form-group"> <label for="id_new_task_name" class=""> New task name: </label> <div class=""> <input type="text" name="new_task_name" maxlength="200" class="textinput textInput form-control" id="id_new_task_name"> </div> </div> <div id="div_id_new_task_area" class="form-group"> <label for="id_new_task_area" class=""> Top-level area: </label> <div class=""> <select name="new_task_area" class="select form-control" id="id_new_task_area"> <option value="" selected>---------</option> <option value="17">Adversarial</option> <option value="18">Audio</option> <option value="11">Computer Code</option> <option value="3">Computer Vision</option> <option value="9">Graphs</option> <option value="15">Knowledge Base</option> <option value="7">Medical</option> <option value="6">Methodology</option> <option value="5">Miscellaneous</option> <option value="12">Music</option> <option value="4">Natural Language Processing</option> <option value="13">Playing Games</option> <option value="14">Reasoning</option> <option value="16">Robots</option> <option value="10">Speech</option> <option value="8">Time Series</option> </select> </div> </div> <div id="div_id_new_task_parent" class="form-group"> <label for="id_new_task_parent" class=""> Parent task (if any): </label> <div class=""> <select name="new_task_parent" class="modelselect2 form-control" id="id_new_task_parent" data-autocomplete-light-language="en" data-autocomplete-light-url="/task-and-tag-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_new_task_desc" class="form-group"> <label for="id_new_task_desc" class=""> Description: </label> <div class=""> <textarea name="new_task_desc" cols="40" rows="3" class="textarea form-control" id="id_new_task_desc"> </textarea> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary"> Submit </button> </div> </form> </div> </div> </div> </div>  <div class="modal fade" id="removeTask" tabindex="-1" role="dialog" aria-labelledby="removeTaskLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="removeTaskLabel">Remove a task</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" 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</span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="U3HsRihOLzqLwFEery0xUk87dKbkhY4NYW07BgRNycJfP5z5TX6GI0QLTnPL7ch1"> <input type="hidden" name="remove_task_pk" value="1560"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled paper-tasks"> <form action="" method="post"> <li> <a href="/task/lidar-semantic-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>LIDAR Semantic Segmentation</span> </span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="U3HsRihOLzqLwFEery0xUk87dKbkhY4NYW07BgRNycJfP5z5TX6GI0QLTnPL7ch1"> <input type="hidden" name="remove_task_pk" value="2414"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled paper-tasks"> <form action="" method="post"> <li> <a href="/task/scene-understanding"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Scene Understanding</span> </span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="U3HsRihOLzqLwFEery0xUk87dKbkhY4NYW07BgRNycJfP5z5TX6GI0QLTnPL7ch1"> <input type="hidden" name="remove_task_pk" value="192"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled paper-tasks"> <form action="" method="post"> <li> <a href="/task/semantic-segmentation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/1901fccc-e4d7-4117-b39f-f08f1f84d652.jpg"> <span>Semantic Segmentation</span> </span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="U3HsRihOLzqLwFEery0xUk87dKbkhY4NYW07BgRNycJfP5z5TX6GI0QLTnPL7ch1"> <input type="hidden" name="remove_task_pk" value="885"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled 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<b>Paper where method was first introduced</b>: </label> <div class=""> <select name="new_method_paper" class="modelselect2 form-control" id="id_new_method_paper" data-autocomplete-light-language="en" data-autocomplete-light-url="/paper-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_new_method_collection" class="form-group"> <label for="id_new_method_collection" class=""> <b>Method category</b> (e.g. Activation Functions): <i>If no match, add something for now then you can add a new category afterwards.</i> </label> <div class=""> <select name="new_method_collection" class="modelselect2 form-control" id="id_new_method_collection" data-autocomplete-light-language="en" data-autocomplete-light-url="/method-collection-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_new_method_desc" class="form-group"> <label for="id_new_method_desc" class=""> <b>Markdown description</b> (optional; $\LaTeX$ enabled): <i>You can edit this later, so feel free to start with something succinct.</i> </label> <div class=""> <textarea name="new_method_desc" cols="40" rows="10" class="textarea form-control" id="id_new_method_desc"> </textarea> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary"> Submit </button> </div> </form> </div> </div> </div> </div>  <div class="modal fade" id="removeMethod" tabindex="-1" role="dialog" aria-labelledby="removeMethodLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="removeMethodLabel">Remove a method</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body"> <ul 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btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body paper-page-edit-dataset-modal"> <input type="hidden" name="csrfmiddlewaretoken" value="U3HsRihOLzqLwFEery0xUk87dKbkhY4NYW07BgRNycJfP5z5TX6GI0QLTnPL7ch1"> <div id="div_id_introduced" class="form-group"> <label for="id_introduced" class=""> Add or remove datasets <b>introduced</b> in this paper: </label> <div class=""> <select name="introduced" data-container-css-class="" data-allow-clear="false" style="width: 100%" class="modelselect2multiple form-control" id="id_introduced" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2" multiple> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_introduced"><script type="text/dal-forward-conf">[{"type": "const", "val": true, "dst": "canonical_only"}, {"type": "const", "val": true, "dst": "disable_create_option"}]</script></div> </div> </div> <div id="div_id_used" class="form-group"> <label for="id_used" class=""> Add or remove other datasets <b>used</b> in this paper: </label> <div class=""> <select name="used" data-container-css-class="" data-allow-clear="false" style="width: 100%" class="modelselect2multiple form-control" id="id_used" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2" multiple> <option value="61" selected>KITTI</option> <option value="1376" selected>SemanticKITTI</option> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_used"><script type="text/dal-forward-conf">[{"type": "const", "val": true, "dst": "canonical_only"}, {"type": "const", "val": true, "dst": "disable_create_option"}]</script></div> </div> </div> <div style="display: inline-block; padding-bottom: 15px;font-size:14px;"> Paper introduces a new dataset? <div style="padding-top:4px"> <a href="/contribute/dataset/new"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="plus-circle"><svg viewBox="0 0 512 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M256 9.998c137 0 248 111 248 248s-111 248-248 248-248-111-248-248 111-248 248-248zm144 276v-56c0-6.6-5.4-12-12-12h-92v-92c0-6.6-5.4-12-12-12h-56c-6.6 0-12 5.4-12 12v92h-92c-6.6 0-12 5.4-12 12v56c0 6.6 5.4 12 12 12h92v92c0 6.6 5.4 12 12 12h56c6.6 0 12-5.4 12-12v-92h92c6.6 0 12-5.4 12-12z"/></svg></span> Add a new dataset here </a> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="edit-datasets"> Save </button> </div> </form> </div> </div> </div> </template> <div class="container content content-buffer "> <main> <div class="paper-title"> <div class="row"> <div class="col-md-12"> <h1> Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation </h1> <div class="authors"> <p> <span class="author-span">21 Aug 2024</span>  路  <span class="author-span"> <a href="/author/chuandong-liu">Chuandong Liu</a></span>, <span class="author-span"> <a href="/author/xingxing-weng">Xingxing Weng</a></span>, <span class="author-span"> <a href="/author/shuguo-jiang">Shuguo Jiang</a></span>, <span class="author-span"> <a href="/author/pengcheng-li">Pengcheng Li</a></span>, <span class="author-span"> <a href="/author/lei-yu">Lei Yu</a></span>, <span class="author-span"> <a href="/author/gui-song-xia">Gui-Song Xia</a></span> <span class="hidden-element">路 </span><button type="button" class="badge-edit" data-bs-toggle="modal" data-bs-toggle="modal" data-bs-target="#loginModal"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> <span>Edit social preview</span> </button> </p> </div> </div> </div> </div> <div class="paper-abstract"> <div class="row"> <div class="col-md-12"> <p> This paper explores scene affinity (AIScene), namely intra-scene consistency and inter-scene correlation, for semi-supervised LiDAR semantic segmentation in driving scenes. Adopting teacher-student training, AIScene employs a teacher network to generate pseudo-labeled scenes from unlabeled data, which then supervise the student network's learning. Unlike most methods that include all points in pseudo-labeled scenes for forward propagation but only pseudo-labeled points for backpropagation, AIScene removes points without pseudo-labels, ensuring consistency in both forward and backward propagation within the scene. This simple point erasure strategy effectively prevents unsupervised, semantically ambiguous points (excluded in backpropagation) from affecting the learning of pseudo-labeled points. Moreover, AIScene incorporates patch-based data augmentation, mixing multiple scenes at both scene and instance levels. Compared to existing augmentation techniques that typically perform scene-level mixing between two scenes, our method enhances the semantic diversity of labeled (or pseudo-labeled) scenes, thereby improving the semi-supervised performance of segmentation models. Experiments show that AIScene outperforms previous methods on two popular benchmarks across four settings, achieving notable improvements of 1.9% and 5.3% in the most challenging 1\% labeled data. </p> <a href="https://arxiv.org/pdf/2408.11280v2.pdf" onclick="captureOutboundLink('https://arxiv.org/pdf/2408.11280v2.pdf'); return true;" class="badge badge-light "> <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="file-pdf"><svg viewBox="0 0 384 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M369.9 98.88c9 9 14.1 21.3 14.1 34v332.1c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-416c0-26.5 21.5-48 48-48.1h204.1c12.7 0 24.9 5.1 33.9 14.1zm-37.8 30.1L256 52.88v76.1h76.1zM48 464.98h288v-288H232c-13.3 0-24-10.7-24-24v-104H48v416zm250.2-143.7c10.5 10.5 8 38.7-17.5 38.7-14.8 0-36.9-6.8-55.8-17-21.6 3.6-46 12.7-68.4 20.1-50.1 86.4-79.4 47-76.1 31.2 4-20 31-35.9 51-46.2 10.5-18.4 25.4-50.5 35.4-74.4-7.4-28.6-11.4-51-7-67.1 4.8-17.7 38.4-20.3 42.6 5.9 4.7 15.4-1.5 39.9-5.4 56 8.1 21.3 19.6 35.8 36.8 46.3 17.4-2.2 52.2-5.5 64.4 6.5zm-198.1 77.8c0 .7 11.4-4.7 30.4-35-5.9 5.5-25.299 21.3-30.4 35zm81.6-190.6c-2.5 0-2.6 26.9 1.8 40.8 4.9-8.7 5.6-40.8-1.8-40.8zm-24.4 136.6c15.9-6.1 34-14.9 54.8-19.2-11.199-8.3-21.8-20.4-30.1-35.5-6.7 17.7-15 37.8-24.7 54.7zm131.6-5c3.6-2.4-2.2-10.4-37.3-7.8 32.3 13.8 37.3 7.8 37.3 7.8z"/></svg></span> <span>PDF</span> </a> <a href="https://arxiv.org/abs/2408.11280v2" onclick="captureOutboundLink('https://arxiv.org/abs/2408.11280v2'); return true;" class="badge badge-light "> <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="file"><svg viewBox="0 0 384 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M369.9 98.88c9 9 14.1 21.3 14.1 34v332.1c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-416c0-26.5 21.5-48 48-48.1h204.1c12.7 0 24.9 5.1 33.9 14.1zm-37.8 30.1L256 52.88v76.1h76.1zM48 464.98h288v-288H232c-13.3 0-24-10.7-24-24v-104H48v416z"/></svg></span> <span>Abstract</span> </a> </div> </div> </div> <div class="row"> <div class="col-md-7 paper-section-first" id="code"> <div class="paper-section-title"> <div class="row"> <div class="col-md-12"> <h2>Code <div class="float-right"> <div class="dropdown edit-button"> <button class="dropdown-toggle badge badge-edit" type="button" id="codeEditMenu" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> <div class="dropdown-menu dropdown-menu-end" aria-labelledby="codeEditMenu"> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add</a> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="remove"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M400 256H112"/></svg></span> Remove</a> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="checkmark-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M416 128L192 384l-96-96"/></svg></span> Mark official</a> </div> </div> </div> </h2> <hr/> </div> </div> </div> <div class="paper-evaluation-badge" style="font-size:15px;margin-bottom: 30px;"> No code implementations yet. 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Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation | Papers With Code