{"id":17,"date":"2026-05-06T16:19:37","date_gmt":"2026-05-06T16:19:37","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/2026teamf7\/?page_id=17"},"modified":"2026-05-07T12:00:55","modified_gmt":"2026-05-07T12:00:55","slug":"future-work-reference","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2026teamf7\/future-work-reference\/","title":{"rendered":"Future Work"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-style-section-1 is-layout-flow wp-block-column-is-layout-flow is-style-section-1--1\" style=\"flex-basis:100%\">\n<ul class=\"wp-block-list\">\n<li><strong>Expand Metrics:<\/strong> Calculate additional quantitative performance benchmarks.<\/li>\n\n\n\n<li><strong>Optimize Streaming:<\/strong> Implement memory caching to enhance throughput.<\/li>\n\n\n\n<li><strong>Broaden Data:<\/strong> Increase the variety and volume of evaluation datasets.<\/li>\n\n\n\n<li><strong>Refine Slot-Dropping:<\/strong> Experiment with alternative slot-drop strategies.<\/li>\n\n\n\n<li><strong>Deeper Slot-Head: <\/strong>Explore deeper and more expressive slot head architectures to improve representation capacity.<\/li>\n\n\n\n<li><strong>Mask-Guided Tracking:<\/strong> Leverage the learned segmentation mask to guide and refine the target tracking process.<\/li>\n\n\n\n<li><strong>Object level supervision: <\/strong>Incorporate weak or pseudo supervision (e.g., masks from foundation models) to guide slots toward semantic object decomposition.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<h6 class=\"wp-block-heading\">Reference<\/h6>\n\n\n\n<ol class=\"wp-block-list\">\n<li class=\"has-small-font-size\">Wang et al., &#8220;VGGT: View-Graph Generalizable Training,&#8221; CVPR 2024.<\/li>\n\n\n\n<li class=\"has-small-font-size\">D. Zhuo et al., &#8220;Streaming 4D Visual Geometry Transformer,&#8221; ICLR 2026.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Xiao et al., &#8220;SpatialTracker: Tracking Any 2D Pixels in 3D Space,&#8221; CVPR 2024.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Reference<\/p>\n","protected":false},"author":280,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-17","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Future Work - Slot4D: Learning Object Slots for 4D Reconstruction<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mscvprojects.ri.cmu.edu\/2026teamf7\/future-work-reference\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Future Work - 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