Search Results for author:
Found 6 papers, 2 papers with code
Localization, balance and affinity: a stronger multifaceted collaborative salient object detector in remote sensing images
Despite significant advancements in salient object detection(SOD) in optical remote sensing images(ORSI), challenges persist due to the intricate edge structures of ORSIs and the complexity of their contextual relationships.
DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation
It consists of a pyramid structure with a spatial information reuse strategy, a sequential pose initialization module, a gated hierarchical pose refinement module, and a temporal feature propagation module.
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Second, more surprisingly, we find that simply finetuning a VLM solely on few-shot examples significantly outperforms previous FSR methods, and finetuning on the mix of retrieved and few-shot data yields even better results.
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
Based on the proposed lattice convolutions, we design lattice convolutional networks (LCN) that use self-gating and attention mechanisms.
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Link Rewiring
Expressivity plays a fundamental role in evaluating deep neural networks, and it is closely related to understanding the limit of performance improvement.
Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds
In this paper, a spherical interpolated convolution operator is proposed to replace the traditional grid-shaped 3D convolution operator.
