3 papers
cs.CV2025
Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval
Yifan Wang, Tao Wang, Chenwei Tang +5
Recently, prompt learning has demonstrated remarkable success in adapting pre-trained Vision-Language Models (VLMs) to various downstream tasks such as image classification. Howeve…
cs.CV2025
Precision Neural Network Quantization via Learnable Adaptive Modules
Wenqiang Zhou, Zhendong Yu, Xinyu Liu +5
Quantization Aware Training (QAT) is a neural network quantization technique that compresses model size and improves operational efficiency while effectively maintaining model perf…
cs.CV2025
Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection
Jingyu Xing, Chenwei Tang, Tao Wang +5
Recent advances in unsupervised anomaly detection (UAD) have shifted from single-class to multi-class scenarios. In such complex contexts, the increasing pattern diversity has brou…