5 papers · 1 filter
Enhancing Knowledge Transfer in Hyperspectral Image Classification via Cross-scene Knowledge Integration
Lu Huo, Wenjian Huang, Jianguo Zhang +2
Knowledge transfer has strong potential to improve hyperspectral image (HSI) classification, yet two inherent challenges fundamentally restrict effective cross-domain transfer: spe…
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment
Jiahao Xia, Min Xu, Wenjian Huang +3
Despite the similar structures of human faces, existing face alignment methods cannot learn unified knowledge from multiple datasets with different landmark annotations. The limite…
Unsupervised Part Discovery via Dual Representation Alignment
Jiahao Xia, Wenjian Huang, Min Xu +4
Object parts serve as crucial intermediate representations in various downstream tasks, but part-level representation learning still has not received as much attention as other vis…
Multimodal Hyperspectral Image Classification via Interconnected Fusion
Lu Huo, Jiahao Xia, Leijie Zhang +2
Existing multiple modality fusion methods, such as concatenation, summation, and encoder-decoder-based fusion, have recently been employed to combine modality characteristics of Hy…
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization
Haimin Zhang, Min Xu
Motivated by the observation that humans can learn patterns from two given images at one time, we propose a dual pattern learning network architecture in this paper. Unlike convent…