38 citations · 43 across the 6 of their papers we have counts for
6 papers · 1 filter
3D-RCNet: Learning from Transformer to Build a 3D Relational ConvNet for Hyperspectral Image Classification
Haizhao Jing, Liuwei Wan, Xizhe Xue +2
Recently, the Vision Transformer (ViT) model has replaced the classical Convolutional Neural Network (ConvNet) in various computer vision tasks due to its superior performance. Eve…
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image Classification
Xizhe Xue, Haokui Zhang, Haizhao Jing +3
Data-hungry HSI classification methods require high-quality labeled HSIs, which are often costly to obtain. This characteristic limits the performance potential of data-driven meth…
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization
Xizhe Xue, Dongdong Yu, Lingqiao Liu +6
Open-World Instance Segmentation (OWIS) is an emerging research topic that aims to segment class-agnostic object instances from images. The mainstream approaches use a two-stage se…
Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification
Xizhe Xue, Haokui Zhang, Bei Fang +2
Hyperspectral image (HSI) classification has been a hot topic for decides, as hyperspectral images have rich spatial and spectral information and provide strong basis for distingui…
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network
Xizhe Xue, Ying Li, Xiaoyue Yin +1
Discriminative correlation filters (DCF) and siamese networks have achieved promising performance on visual tracking tasks thanks to their superior computational efficiency and rel…
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map
Xizhe Xue, Ying Li, Qiang Shen
Benefiting from its ability to efficiently learn how an object is changing, correlation filters have recently demonstrated excellent performance for rapidly tracking objects. Desig…