This paper presents a Cosine Similarity-Based Knowledge Distillation (CSKD) for robust, lightweight object detectors. Knowledge Distillation (KD) has been effective in enhancing the performance of compact models in image classification by leveraging deep CNN models. However, the complex and multifaceted ...
The parameters of this paper describe the influence of communication between artists, and then this paper calculates and explains the parameters in the subnet. Next, this paper uses cosine similarity to measure similarity between two music samples and innovatively uses variance as the weight of music...
(orthogonal) and have no match. The closer the cosine value to 1, the smaller the angle and the greater the match between vectors. Note that because the cosine similarity measure does not obey all of the properties ofSection 2.4.4defining metric measures, it is referred to as anonmetric ...
Multi-classification problem is a key research in the field of machine learning.How to solve the problem of classification is a hot research spot in recent years.In this paper,the cosine similarity is used to characterize the similarity of samples and cosine similarity is introduced into 2-class...
Section 6 concludes this paper. Fig. 2 Model partitioning system with proposal. The arrow represents the transmitted data, and the thickness of the arrow represents the amount of data Full size image 2 Related work 2.1 Cosine similarityCosine similarity is defined as the cosine of the angle ...
This paper tackles the problem to learn robust representations against noise in a raw dataset. To this end, inspired by recent works on denoising and the success of the cosine-similarity-based objective functions in representation learning, we propose the denoising Cosine-Similarity (dCS) loss. ...
Similarity measures are an important tool in pattern r cognition and medical diagnosis. To overcome some disadvantages of existing cosine sim ilarity measures for simplified neutrosophic sets (SNSs) in vector space, this paper proposes imp roved cosine similarity measures for SNSs based on the cosine...
Academy & Industry Research Collaboration Center (AIRCC)International Journal of Network Security & Its ApplicationsDe Xin Yang,ChunJing Lin,Bo Yang.A Novel Secure Cosine Similarity Computation Scheme With Malicious Adversaries[J].International Journal of Network Security & Its Applications(IJNSA),2013,...
www.nature.com/scientificreports OPEN Cosine similarity knowledge distillation for surface anomaly detection Siyu Sheng 1, Junfeng Jing 1,2*, Zhen Wang 3,4 & Huanhuan Zhang 2,4 The current state-of-the-art anomaly detection methods based on knowledge distillation (KD) ...
In our work we proposed a novel algorithm by using cosine similarity based Template Extraction. We are using the cosine similarity approach to cluster the web documents. With the help of underlying structure of web documents we found the template for individual cluster. Our experimental evaluation ...