187 citations · 1k across the 17 of their papers we have counts for
17 papers
STENet: Superpixel Token Enhancing Network for RGB-D Salient Object Detection
Jianlin Chen, Gongyang Li, Zhijiang Zhang +2
Transformer-based methods for RGB-D Salient Object Detection (SOD) have gained significant interest, owing to the transformer's exceptional capacity to capture long-range pixel dep…
Context-Aware Interaction Network for RGB-T Semantic Segmentation
Ying Lv, Zhi Liu, Gongyang Li
RGB-T semantic segmentation is a key technique for autonomous driving scenes understanding. For the existing RGB-T semantic segmentation methods, however, the effective exploration…
Texture-Semantic Collaboration Network for ORSI Salient Object Detection
Gongyang Li, Zhen Bai, Zhi Liu
Salient object detection (SOD) in optical remote sensing images (ORSIs) has become increasingly popular recently. Due to the characteristics of ORSIs, ORSI-SOD is full of challenge…
Salient Object Detection in Optical Remote Sensing Images Driven by Transformer
Gongyang Li, Zhen Bai, Zhi Liu +2
Existing methods for Salient Object Detection in Optical Remote Sensing Images (ORSI-SOD) mainly adopt Convolutional Neural Networks (CNNs) as the backbone, such as VGG and ResNet.…
No-Service Rail Surface Defect Segmentation via Normalized Attention and Dual-scale Interaction
Gongyang Li, Chengjun Han, Zhi Liu
No-service rail surface defect (NRSD) segmentation is an essential way for perceiving the quality of no-service rails. However, due to the complex and diverse outlines and low-cont…
Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment
Gongyang Li, Zhi Liu, Xinpeng Zhang +1
Recently, relying on convolutional neural networks (CNNs), many methods for salient object detection in optical remote sensing images (ORSI-SOD) are proposed. However, most methods…