Ke Zhang

Density-Aware Multi-Level Geometry Enhancement for Mamba-Based Point Cloud Classification

Mamba-based point cloud networks process serialized point tokens with state space layers and offer efficient classification, yet their performance is largely determined by the quality of local tokens produced before serialization. Existing tokenization compresses local patches via symmetric pooling, thereby discarding...

Dual-view multi-scale feature enhancement and fusion for fine-grained visual classification

Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets

Learning-state-aware dynamic generative data augmentation (LSADA) is proposed, which introduces a decoupled data augmentation and diffusion fusion strategy that applies strength-controlled transformations to class-relevant regions and generates diverse class-irrelevant regions, progressively fusing them to improve imag...