Deep Residual Learning for Image Recognition
Official Best Paper · SourceShortcut connections let a network learn changes relative to its input, helping optimize deeper networks.
Computer Vision
IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Shortcut connections let a network learn changes relative to its input, helping optimize deeper networks.
Studies counting hard-to-distinguish objects in underwater scenes and introduces the IOCfish5K dataset.
Combines depth, spatiotemporal correspondence, and camera estimation from dynamic video. A unified point-query interface replaces separate task decoders in a feed-forward approach to 4D scene reconstruction.
Revisits mixture representations in 3D Gaussian Splatting. Student distributions with positive and negative densities, together with a sampling-based optimizer, explore scene representations beyond conventional Gaussian components.