Summary of Adversarial Attack Against Images Classification Based on Generative Adversarial Networks, by Yahe Yang
Adversarial Attack Against Images Classification based on Generative Adversarial Networksby Yahe YangFirst submitted to arxiv…
Adversarial Attack Against Images Classification based on Generative Adversarial Networksby Yahe YangFirst submitted to arxiv…
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentationby Yufei Song, Ziqi Zhou, Minghui Li, Xianlong…
V“Mean”ba: Visual State Space Models only need 1 hidden dimensionby Tien-Yu Chi, Hung-Yueh Chiang, Chi-Chih…
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classificationby Yicheng Gao, Jinkui Hao,…
Addressing Small and Imbalanced Medical Image Datasets Using Generative Models: A Comparative Study of DDPM…
RapidNet: Multi-Level Dilated Convolution Based Mobile Backboneby Mustafa Munir, Md Mostafijur Rahman, Radu MarculescuFirst submitted…
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformersby Dong Hoon Lee, Seunghoon…
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identificationby Zi Yang,…
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluationby…
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applicationsby Kayne…