There is an emerging sense that the vulnerability of Image Convolutional Neural Networks (CNN), i. e., sensitivity to image corruptions, perturbations, and adversarial attacks, is connected with Texture Bias.
Ranked #94 on Domain Generalization on PACS
1 code implementation • 23 Mar 2019 • Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret Regan, David da Costa de Pinho, Elias Tsigaridas, Charles Wampler, Jonathan Hauenstein, Benjamin Kimia, Anton Leykin, Tomas Pajdla
We present a new minimal problem for relative pose estimation mixing point features with lines incident at points observed in three views and its efficient homotopy continuation solver.
We present a novel approach for estimating the 2D pose of an articulated object with an application to automated video analysis of small laboratory animals.
The three-dimensional reconstruction of scenes from multiple views has made impressive strides in recent years, chiefly by methods correlating isolated feature points, intensities, or curvilinear structure.
We address these challenges by laying the theoretical foundations of a framework based on the differential geometry of general curves, including stationary curves, occluding contours, and non-rigid curves, aiming at stereo correspondence, camera estimation (including calibration, pose, and multiview epipolar geometry), and 3D reconstruction given measured image curves.