A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples

3 December 2021

Papers citing "A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples"

8 / 8 papers shown

Title
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification Weilian Zhou Sei-ichiro Kamata Haipeng Wang Man-Sing Wong Huiying H. Hou Mamba 27 30 0 20 May 2024
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 55 7 0 25 Sep 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 32 0 0 08 Feb 2023
Brain informed transfer learning for categorizing construction hazards Xiaoshan Zhou P-C. Liao 24 2 0 17 Nov 2022
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with Superpixels Mirko Paolo Barbato Paolo Napoletano Flavio Piccoli Raimondo Schettini 11 20 0 26 Apr 2022
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling Yang Long Gui-Song Xia L. Zhang Gong Cheng Deren Li 16 14 0 06 Jan 2022
Learnable Adaptive Cosine Estimator (LACE) for Image Classification Joshua Peeples Connor H. McCurley Sarah Walker Dylan Stewart Alina Zare 24 3 0 11 Oct 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017