6 citations · 12 across the 4 of their papers we have counts for
4 papers
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification
Jingyi Zhou, Jiamu Sheng, Jiayuan Fan +4
The effectiveness of spectral-spatial feature learning is crucial for the hyperspectral image (HSI) classification task. Diffusion models, as a new class of groundbreaking generati…
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Hancheng Ye, Bo Zhang, Tao Chen +2
Global channel pruning (GCP) aims to remove a subset of channels (filters) across different layers from a deep model without hurting the performance. Previous works focus on either…
Densely Semantic Enhancement for Domain Adaptive Region-free Detectors
Bo Zhang, Tao Chen, Bin Wang +3
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled dat…
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
Yike Wu, Bo Zhang, Gang Yu +4
The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.…