WebACM MM, 2024. Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network. Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, Xianglong Liu*. ACM MM, 2024. Frequency Domain Model Augmentation for Adversarial Attack. Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong … WebCVPR 2024 [ CODE] Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement Aming Wu, Suqi Zhao, Cheng Deng, Wei Liu NeurIPS 2024 [ PDF] Universal-Prototype Enhancing for Few-Shot Object Detection Aming Wu, Yahong Han, Linchao Zhu, Yi Yang ICCV 2024 [ PDF]
Multi-spectral template matching based object detection in a few …
WebJun 21, 2024 · Google at CVPR 2024 Tuesday, June 21, 2024 Posted by Shaina Mehta and Kristen Borg, Program Managers This week marks the beginning of the premier annual Computer Vision and Pattern Recognition conference (CVPR 2024), held both in-person in New Orleans, LA and virtually. WebA key component of this event will be to track progress on three dataset challenges, where the tasks are to answer visual questions and ground answers on images taken by people who are blind, and recognize objects in few-shot learning scenarios. Winners of these challenges will receive awards sponsored by Microsoft. short hills east moline
Generating Features with Increased Crop-related Diversity for Few-Shot ...
WebJun 25, 2024 · Few-shot object detection is an imperative and long-lasting problem due to the inherent long-tail distribution of real-world data. Its performance is largely affected by the data scarcity of novel classes. But the semantic relation between the novel classes and the base classes is constant regardless of the data availability. In this work, we investigate … WebMulti-spectral template matching (MSTM) based object detection approaches can be widely used in robotics and aerospace systems for fine-grained object discovery. However, the performance of existing nearest neighbor search based nonparametric paradigms ( e.g. , correlation coefficient and l p-norm) turns out to be unsatisfactory. WebApr 10, 2024 · 这是一篇2024年的论文，论文题目是Semantic Prompt for Few-Shot Image Recognitio，即用于小样本图像识别的语义提示。本文提出了一种新的语义提示（SP）的方法，利用丰富的语义信息作为 提示 来 自适应 地调整视觉特征提取器。而不是将文本信息与视觉分类器结合来改善分类器。 short hills east moline il