3 citations · 8 across the 5 of their papers we have counts for
5 papers
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
Kunpeng Wang, Zhengzheng Tu, Chenglong Li +2
Multi-modal salient object detection (MSOD) aims to boost saliency detection performance by integrating visible sources with depth or thermal infrared ones. Existing methods genera…
VcT: Visual change Transformer for Remote Sensing Image Change Detection
Bo Jiang, Zitian Wang, Xixi Wang +4
Existing visual change detectors usually adopt CNNs or Transformers for feature representation learning and focus on learning effective representation for the changed regions betwe…
Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification
Leilei Ma, Dengdi Sun, Lei Wang +2
Extracting image semantics effectively and assigning corresponding labels to multiple objects or attributes for natural images is challenging due to the complex scene contents and…
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding
Wenjin Wang, Zhengjie Huang, Bin Luo +8
Recent efforts of multimodal Transformers have improved Visually Rich Document Understanding (VrDU) tasks via incorporating visual and textual information. However, existing approa…
MutualFormer: Multi-Modality Representation Learning via Cross-Diffusion Attention
Xixi Wang, Xiao Wang, Bo Jiang +2
Aggregating multi-modality data to obtain reliable data representation attracts more and more attention. Recent studies demonstrate that Transformer models usually work well for mu…