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SGFormer: Spherical Geometry Transformer for 360 Depth Estimation
Panoramic distortion poses a significant challenge in 360 depth estimation, particularly pronounced at the north and south poles.
Improving Chinese Character Representation with Formation Tree
This model utilizes formation trees to represent characters and incorporates a dedicated tree encoder, significantly improving performance in both seen and unseen character recognition tasks.
360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception
Existing panoramic layout estimation solutions tend to recover room boundaries from a vertically compressed sequence, yielding imprecise results as the compression process often muddles the semantics between various planes.
NRTR: Neuron Reconstruction with Transformer from 3D Optical Microscopy Images
Existing deep learning neuron reconstruction methods, although demonstrating exemplary performance, greatly demand complex rule-based components.
Functional Network: A Novel Framework for Interpretability of Deep Neural Networks
Inspired by the success of functional brain networks, we propose a novel framework for interpretability of deep neural networks, that is, the functional network.
