This paper presents a new method for video and image categorization based on a database of over 50,000 videos collected from YouTube and down-sampled to tiny size. The categorization results achieved by tiny videos are compared with the tiny images framework for a variety of recognition tasks....
FSIR方法在不同数据集上性能不同,可以用image complexity、intra-concept visual consistency和inter-concept visual similarity来描述不同数据集 不同FSIR方法在不同数据集上性能不同,这与dataset structures和method ability都有关,method ability和dataset structures的characteristics紧密相关 ...
The objective of this paper is large scale object instance retrieval, given a query image. A starting point of such systems is feature detection and descri... R Arandjelovic,A Zisserman 被引量: 378发表: 2013年 MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition In this...
大家好,今天和大家分享的论文是发表在MM2020的《MEmoR: A Dataset for Multimodal Emotion Reasoning in Videos》。这篇论文定义了一个新的名为Multimodal Emotion Reasoning的任务,提出了一个帮助解决这一问题的数据集MEmoR,再针对这个任务提出了一个基于注意力机制的模型AMER。
Artificial intelligence models play a crucial role in monitoring and maintaining railroad infrastructure by analyzing image data of foreign objects on power transmission lines. However, the availability of publicly accessible datasets for railroad foreig
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution With the popularity of dual cameras in recently released smart phones, a growing number of super-resolution (SR) methods have been proposed to enhance the ... Y Wang,L Wang,J Yang,... - IEEE 被引量: 0发表: 2019年 ...
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Efficient Object Category Recognition Using Classemes The conventional image descriptors were not suitable for categorization task. In =-=[4]-=- a descriptor has been designed that shows very good results on image categorization problems. In [1] the authors proposed a method to describe......
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation" - mseg-dataset/mseg-api
Dataset Bias in Few-shot Image Recognition-Shuqiang Jiang 主要研究了在少样本图像识别(Few-shot Image Recognition, FSIR)中,数据集偏差对模型性能的影响,并探讨了不同数据集结构和少样本学习方法之间的性能差异。 (1)研究背景:FSIR的目标是利用从训练数据(基础类别)中学习到的可转移知识来识别新类别,通常只需要...