3 accepted papers
As a kind of multi-step attack, the APT attack is long-term, highly hidden, and usually exploits novel vulnerabilities. To detect and respond to APT attacks, security analysts need to analyze a large number of system logs and network traffic to determine the sequence of activities executed by APT at…
While large multimodal models (LMMs) have achieved remarkable progress generating pixel-level masks for image reasoning tasks involving multiple open-world targets remains a challenge. To bridge this gap we introduce PixelLM an effective and efficient LMM for pixel-level reasoning and understanding.…
We study on joint learning of Convolutional Neural Network (CNN) and Transformer for vision-language pre-training (VLPT) which aims to learn cross-modal alignments from millions of image-text pairs. State-of-the-art approaches extract salient image regions and align regions with words step-by-step.…