Zobrazeno 1 - 10
of 651
pro vyhledávání: '"Jia, Xiuping"'
Autor:
Hong, Danfeng, Zhang, Bing, Li, Xuyang, Li, Yuxuan, Li, Chenyu, Yao, Jing, Yokoya, Naoto, Li, Hao, Ghamisi, Pedram, Jia, Xiuping, Plaza, Antonio, Gamba, Paolo, Benediktsson, Jon Atli, Chanussot, Jocelyn
The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner. While most foundation models are tailored to effectively process RGB image
Externí odkaz:
http://arxiv.org/abs/2311.07113
Autor:
Zhang, Xiangrong, Zhang, Tianyang, Wang, Guanchun, Zhu, Peng, Tang, Xu, Jia, Xiuping, Jiao, Licheng
Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received longstanding attention. In recent years, deep learning techniques have demonstrated robust feature representation capa
Externí odkaz:
http://arxiv.org/abs/2309.06751
Considering the computation complexity, we propose a Guided Hybrid Quantization with One-to-one Self-Teaching (GHOST}) framework. More concretely, we first design a structure called guided quantization self-distillation (GQSD), which is an innovative
Externí odkaz:
http://arxiv.org/abs/2301.00131
Latent fingerprints are important for identifying criminal suspects. However, recognizing a latent fingerprint in a collection of reference fingerprints remains a challenge. Most, if not all, of existing methods would extract representation features
Externí odkaz:
http://arxiv.org/abs/2207.00587
Hyperspectral unmixing has been an important technique that estimates a set of endmembers and their corresponding abundances from a hyperspectral image (HSI). Nonnegative matrix factorization (NMF) plays an increasingly significant role in solving th
Externí odkaz:
http://arxiv.org/abs/2205.09933
Hyperspectral image produces high spectral resolution at the sacrifice of spatial resolution. Without reducing the spectral resolution, improving the resolution in the spatial domain is a very challenging problem. Motivated by the discovery that hype
Externí odkaz:
http://arxiv.org/abs/2204.04387
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing December 2024 218 Part A:663-677
Image super-resolution (SR) methods can generate remote sensing images with high spatial resolution without increasing the cost, thereby providing a feasible way to acquire high-resolution remote sensing images, which are difficult to obtain due to t
Externí odkaz:
http://arxiv.org/abs/2107.06536
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation March 2024 127