Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware Detector

2 January 2024

Papers citing "Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware Detector"

17 / 17 papers shown

Title
FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion Daixun Li Weiying Xie Yunsong Li Leyuan Fang 53 19 0 16 Nov 2023
You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection Zhaoxu Li Yingqian Wang Chao Xiao Qi Ling Zaiping Lin Wei An 39 35 0 31 Mar 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 72 35 0 25 Mar 2023
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization Haofan Wang Rakshit Naidu J. Michael Soumya Snigdha Kundu FAtt 96 79 0 25 Jun 2020
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Mehdi Neshat Zifan Wang Bradley Alexander Fan Yang Zijian Zhang Sirui Ding Markus Wagner Xia Hu FAtt 86 1,062 0 03 Oct 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 327 11,734 0 11 Jan 2018
How Generative Adversarial Networks and Their Variants Work: An Overview Yongjun Hong Uiwon Hwang Jaeyoon Yoo Sungroh Yoon GAN 63 156 0 16 Nov 2017
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 101 2,285 0 30 Oct 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 113 2,569 0 12 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 246 19,929 0 07 Oct 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 221 9,298 0 14 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 300 19,580 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 214 4,665 0 21 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 264 3,870 0 19 Dec 2014
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 158 2,117 0 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 244 7,279 0 20 Dec 2013