2024年3月23日 · To address this issue, we introduce VLM-CPL, a novel approach based on consensus pseudo labels that integrates two noisy label filtering techniques with a semi …

2024年7月11日 · Vision-language models (VLMs) can learn high-quality representations from a large-scale training dataset of image-text pairs. Prompt learning is a popular approach to fine …

2024年3月8日 · In the field of Class Incremental Object Detection (CIOD), creating models that can continuously learn like humans is a major challenge. Pseudo-labeling methods, although …

Label Propagation：一种基于图的 标签传播 方法，能够在标签有限的情况下进行有效的学习，但在处理大规模数据集时计算复杂度高。 研究方法 这篇论文提出了一种基于图的方法，用 …

2024年11月26日 · This is the repository of Vision Language Models for Vision Tasks: a Survey, a systematic survey of VLM studies in various visual recognition tasks including image …

2024年3月27日 · 为了应对这一挑战，我们引入了VLM-CPL（Consensus Pseudo Labels from Vision-Language Models），一种基于共识伪标签的新方法，该方法结合了两种噪声标签过滤 …

We design a novel scheme for the OOD score collaborated with negative labels. Theoretical analysis helps to understand the mechanism of negative labels. Extensive experiments …

The commands in run.sh will by default load the cached preference labels; you can use cached_label_path=None to not use the cached labels and query the VLM online during …

To address this issue, we introduce VLM-CPL, a novel approach based on consensus pseudo labels that integrates two noisy label filtering techniques with a semi-supervised learning …

OLA-VLM 仅在 inference 期间使用单个 visual encoder 就实现了这些结果，使其比多编码器系统效率高得多。 为了进一步验证其有效性，研究人员分析了 OLA-VLM 学习到的表示。 Probing …