3 papers
cs.CV2026
Semantically Compatible Knowledge Distillation for Cross-Domain Object Detection with Vision Foundation Models
Qifeng Zhang, Ting Xiang, Zeyuan Bai +1
Vision foundation models (VFMs) offer strong generalization capabilities for domain-adaptive object detection (DAOD). However, existing VFM-based methods overlook the spatial-scale…
cs.CV2025
Enhancing Small-Scale Dataset Expansion with Triplet-Connection-based Sample Re-Weighting
Ting Xiang, Changjian Chen, Zhuo Tang +5
The performance of computer vision models in certain real-world applications, such as medical diagnosis, is often limited by the scarcity of available images. Expanding datasets us…
cs.CR2024
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization
Xu Yang, Jiapeng Zhang, Qifeng Zhang +1
In federated learning, particularly in cross-device scenarios, secure aggregation has recently gained popularity as it effectively defends against inference attacks by malicious ag…