🥰开集目标检测主要有两种方案,分别是 referring(CLIP-based)和 Grounding。近期,IDEA 研究院联合清华大学发布了一项工作,他们将基于 Transformer 的目标检测模型 DINO 和 Grounding 预训练结合了起来,同时使用多种数据:detection,grounding,和图像-文本对训练模型,使其拥有极强的开放集合检测能力。此外,他们还将 Groundi...
为了公平比较,我们创建了一个CEVT-CLIP基线,将CEVT的ResNet-101骨干网络替换为更强大的CLIP视觉编码器。此外,我们为OUVDA引入了更多基线,这些基线使用CLIP的表示能力,但没有关于真实目标私有标签集名称的先验知识。这些基线在如何拒绝目标私有实例方面有所不同:(i) ActionCLIP基线通过对使用共享类别名称计算的相似度值...
CLIP-based Fusion-modal Reconstructing Hashing for Unsupervised Large-scale Cross-modal Retrieval - AwakerLee/CFRH
In this paper, we present an interactive video retrieval system named VideoCLIP 2.0 developed for the Video Browser Showdown in 2024. Building upon the foundation of the previous year’s system, VideoCLIP, this upgraded version incorporates several enhan
A novel clip-based precision seed metering device was developed, integrating an optimised seed-filling clip to enhance seed capturing and metering accuracy. The overall structure and working principles of the device were described, focusing on key components such as the seed-filling clip, clamping ...
In this paper, we first introduce a uni-fied formulation to analyze CLIP-based few-shot learning methods from a perspective of logit bias, which encourages us to learn an effective logit bias for further improving per-formance of CLIP-based few-shot learning methods. To this end, we ...
A surgical clip-based CTV delineation protocol was introduced. CTV visibility and its post-operative shrinkage pattern were assessed. The subjects were 27 early stage breast cancer patients receiving post-operative radiotherapy alone and 15 receiving post-operative chemotherapy followed by radiotherapy. ...
we propose CLIP-UP: CLIP-based Unanswerable Problem detection, a novel lightweight method for equipping VLMs with the ability to withhold answers to unanswerable questions. By leveraging CLIP to extract question-image alignment information, CLIP-UP requires only efficient training of a few additional...
(CLIP) models, which can be optimized for real-time deployment on edge devices. The proposed system outperforms state-of-the-art in-context learning methods, including the zero-shot capabilities of GPT-4o, particularly in complex scenarios. By conducting frame-level analysis on the Honda Scenes...
we leverage the rich event-image datasets to learn an event embedding space aligned with the image space of CLIP through contrastive learning. In this way, event and text data are naturally aligned via using image data as a bridge. Particularly, CEIA offers two distinct advantages. First, it ...