4 papers
SpikeHash: Learning Binary Codes with Spiking Neural Networks for Cross-Modal Hashing Retrieval
Yukuan Zhang, Jiarui Zhao, Shangqing Nie +1
Cross-modal hashing retrieval encodes heterogeneous data into compact binary codes for efficient Hamming-space search. Existing methods usually learn cross-modal semantics in conti…
SpectralTrain: A Universal Framework for Hyperspectral Image Classification
Meihua Zhou, Liping Yu, Xinyu Tong +4
Hyperspectral image (HSI) classification typically involves large-scale data and computationally intensive training, which limits the practical deployment of deep learning models i…
Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model
Yu Wang, Chuanguang Yang, Zhulin An +6
Existing Knowledge Distillation (KD) methods often align feature information between teacher and student by exploring meaningful feature processing and loss functions. However, due…
DCL-SE: Dynamic Curriculum Learning for Spatiotemporal Encoding of Brain Imaging
Meihua Zhou, Xinyu Tong, Jiarui Zhao +4
High-dimensional neuroimaging analyses for clinical diagnosis are often constrained by compromises in spatiotemporal fidelity and by the limited adaptability of large-scale, genera…