528 citations · 626 across the 12 of their papers we have counts for
12 papers
CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation
Mushui Liu, Jun Dan, Ziqian Lu +3
Due to the large-scale image size and object variations, current CNN-based and Transformer-based approaches for remote sensing image semantic segmentation are suboptimal for captur…
Dense Affinity Matching for Few-Shot Segmentation
Hao Chen, Yonghan Dong, Zheming Lu +4
Few-Shot Segmentation (FSS) aims to segment the novel class images with a few annotated samples. In this paper, we propose a dense affinity matching (DAM) framework to exploit the…
Multi-Content Interaction Network for Few-Shot Segmentation
Hao Chen, Yunlong Yu, Yonghan Dong +3
Few-Shot Segmentation (FSS) is challenging for limited support images and large intra-class appearance discrepancies. Most existing approaches focus on extracting high-level repres…
Deep Metric Learning with Spherical Embedding
Dingyi Zhang, Yingming Li, Zhongfei Zhang
Deep metric learning has attracted much attention in recent years, due to seamlessly combining the distance metric learning and deep neural network. Many endeavors are devoted to d…
SBAT: Video Captioning with Sparse Boundary-Aware Transformer
Tao Jin, Siyu Huang, Ming Chen +2
In this paper, we focus on the problem of applying the transformer structure to video captioning effectively. The vanilla transformer is proposed for uni-modal language generation…
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning
Tao Jin, Siyu Huang, Yingming Li +1
This paper addresses the challenging task of video captioning which aims to generate descriptions for video data. Recently, the attention-based encoder-decoder structures have been…