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20192025
most citedAIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

19 citations · 24 across the 4 of their papers we have counts for

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5 papers · 1 filter

eess.IV2025★ 2 cited

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation

Xiaowen Ma, Rongrong Lian, Zhenkai Wu +8

As a common method in the field of computer vision, spatial attention mechanism has been widely used in semantic segmentation of remote sensing images due to its outstanding long-r…

eess.IV2020★ 2 cited

Unsupervised Alternating Optimization for Blind Hyperspectral Imagery Super-resolution

Jiangtao Nie, Lei Zhang, Wei Wei +2

Despite the great success of deep model on Hyperspectral imagery (HSI) super-resolution(SR) for simulated data, most of them function unsatisfactory when applied to the real data,…

eess.IV2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang, Martin Danelljan, Yawei Li +75

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…

eess.IV2020★ 1 cited

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4

This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…

eess.IV2019★ 19 cited

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

Kai Zhang, Shuhang Gu, Radu Timofte +26

This paper reviews the AIM 2019 challenge on constrained example-based single image super-resolution with focus on proposed solutions and results. The challenge had 3 tracks. Takin…