<div dir="ltr"><div>Workshop on <b>Learning with Limited Labelled Data for Image and Video Understanding, (L3D-IVU) </b>in conjunction with IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.</div><div><br></div><div><br></div><div>*** FULL PAPER SUBMISSION DEADLINE: March 5th 2022 23:59 PST ***</div><div><div><br></div><div>Workshop Website: <a href="https://sites.google.com/view/l3d-ivu" target="_blank">https://sites.google.com/view/l3d-ivu</a></div><div>CMT3 Submission: <span style="text-decoration:underline"><a href="https://www.google.com/url?q=https%3A%2F%2Fcmt3.research.microsoft.com%2FL3DIVU2022&sa=D&sntz=1&usg=AFQjCNGBaBi5vHc47KzWSkOdV1Mx1ZW0Rw" target="_blank">https://cmt3.research.microsoft.com/L3DIVU2022</a></span></div><div><br></div><div><b>CALL FOR PAPERS:</b></div><div><p dir="ltr" style="text-align:justify;white-space:normal"><span style="font-variant:normal">We
 encourage submissions that are under one of the topics of interest, but
 also we welcome other interesting and relevant research for learning 
with limited labelled data.</span></p><ul style="list-style-type:square;margin-left:0px;margin-right:0px;padding:0px"><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">Few-Shot classification, detection and segmentation in still images and video, including objects, actions, and scenes.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">Cross-domain few-shot learning.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">Zero-shot learning.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">Self supervised Learning.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal"> Weakly supervised learning.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">Semi-supervised learning.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">Transfer Learning.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">Open-set learning.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">New benchmarks.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="margin-left:0px;padding-left:0px;text-align:justify;text-indent:0px;white-space:normal"><span style="font-variant:normal">Real-world applications discussing the societal Impact of fewshot learning.</span></p></li></ul><p dir="ltr"><span style="font-variant:normal">Accepted papers will be presented at the poster session, some as orals and two papers will be awarded as the best paper.</span></p><p dir="ltr"><span style="font-variant:normal"><br></span></p><p dir="ltr"><span style="font-family:"Open Sans";vertical-align:baseline"><strong>Submission Guidelines:</strong></span></p><ul style="list-style-type:square;margin-left:0px;margin-right:0px;padding:0px"><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">We accept submissions of </span><span style="color:rgb(0,0,0);font-family:"Open Sans""><strong>max 8 pages</strong></span><span style="color:rgb(0,0,0)"> (excluding references). We encourage authors to submit 4 page work as well.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">We accept dual submissions to </span><span style="color:rgb(0,0,0);font-family:"Open Sans""><strong>CVPR 2022</strong></span><span style="color:rgb(0,0,0)"> and </span><span style="color:rgb(0,0,0);font-family:"Open Sans""><strong>L3D-IVU 2022</strong></span><span style="color:rgb(0,0,0)">.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">Submitted manuscripts should follow the </span><span style="text-decoration:underline"><a href="https://www.google.com/url?q=https%3A%2F%2Fcvpr2022.thecvf.com%2Fsites%2Fdefault%2Ffiles%2F2021-10%2Fcvpr2022-author_kit-v1_1-1.zip&sa=D&sntz=1&usg=AFQjCNG0CSOdlxAQE7ZJSsdoH9ZEqbLWjQ" target="_blank">CVPR 2022 paper template</a></span><span style="color:rgb(0,0,0)">.</span></p></li></ul><ul style="list-style-type:square;margin-left:0px;margin-right:0px;padding:0px"><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">Submissions will be rejected without review if they:</span></p><ol style="list-style-type:decimal;margin-left:0px;margin-right:0px;padding:0px"><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">Contain more than 8 pages (excluding references).</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">Violate the double-blind policy.</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">Violate the dual-submission policy for papers with more than 4 pages excluding references.</span></p></li></ol></li></ul><ul style="list-style-type:square;margin-left:0px;margin-right:0px;padding:0px"><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">The
 accepted papers will be linked at the workshop webpage. It will also be
 in the main conference proceedings if the authors agree (this option is
 valid only for </span><span style="color:rgb(0,0,0);font-family:"Open Sans""><strong>full-length papers not published at CVPR 2022</strong></span><span style="color:rgb(0,0,0)">)</span></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:0px;margin-left:0px;margin-top:0px;padding:0px;text-indent:0px"><span style="color:rgb(0,0,0)">Papers will be peer reviewed under double-blind policy, and must be submitted online through the CMT submission system.</span></p></li></ul></div></div></div>