1.0Breaking Depth Estimation Models with Semantic Adversarial Attackshttps://mscvprojects.ri.cmu.edu/2025team12-2Introduction - Breaking Depth Estimation Models with Semantic Adversarial Attacksrich600338<blockquote class="wp-embedded-content" data-secret="XXVaqJJXOB"><a href="https://mscvprojects.ri.cmu.edu/2025team12-2/">Introduction</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2025team12-2/embed/#?secret=XXVaqJJXOB" width="600" height="338" title="“Introduction” — Breaking Depth Estimation Models with Semantic Adversarial Attacks" data-secret="XXVaqJJXOB" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Monocular depth estimation models (MDEs) have made significant leaps in performance recently with the release of models like DepthAnythingv2. These models are capable of generating highly detailed relative depth estimations over diverse indoor and outdoor data. However, these models exhibit specific failures that occur as a result of data-biases. In this work we seek to … Continue reading ""