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cs.CV2025
S2AFormer: Strip Self-Attention for Efficient Vision Transformer
Guoan Xu, Wenfeng Huang, Wenjing Jia +3
Vision Transformer (ViT) has made significant advancements in computer vision, thanks to its token mixer's sophisticated ability to capture global dependencies between all tokens.…
cs.CV2024★ 1 cited
Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided Diffusion
Runze Liu, Dongchen Zhu, Guanghui Zhang +5
Unsupervised monocular depth estimation has received widespread attention because of its capability to train without ground truth. In real-world scenarios, the images may be blurry…
cs.CV2020★ 1 cited
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
Jingang Tan, Lili Chen, Kangru Wang +3
We propose a novel 3D point cloud segmentation framework named SASO, which jointly performs semantic and instance segmentation tasks. For semantic segmentation task, inspired by th…