In this paper, we compare and contrast the performances of baseline methods for image classification, semantic segmentation, and visual question answering on our dataset. 展开 关键词: Image segmentation Semantics Task analysis Satellites Computer vision Image resolution Buildings ...
论文题目:Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning 论文链接:https://openaccess.thecvf.com/content/ICCV2023/papers/Liu_Seeing_Beyond_the_Patch_Scale-Adaptive_Semantic_Segmentation_of_High-resolution_Remote_ICCV_2...
Full size image UCF_QNRF dataset is proposed by Idrees et al. [30] and is considered as the most suitable dataset for evaluating crowd counting models. The dataset consists of high-resolution images with diverse background, mainly collected from Web search, Flickr, and Hajj recording archives....
HRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks. - zhangfx123/HRSID
If you feel this dataset is useful, please cite as the following format. [1] Shunjun Wei ; Xiangfeng Zeng ; Qizhe Qu ; Mou Wang ; Hao Su ; Jun Shi.HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation. IEEE Access ...
Article Open access 09 December 2020 Retinal fundus image super-resolution based on generative adversarial network guided with vascular structure prior Article Open access 01 October 2024 A new generative adversarial network for medical images super resolution Article Open access 09 June 2022 Introdu...
HLVID DataSet 记录人数:200人,50656张image,平均长度为126帧. 相机:2个,Camera A:1920*1080,Camera B:640*480. 行人帧的规格:高分辨率帧(HR):44*120 到 173*258,平均 105*203;低分辨率帧(LR):8*19 到 19*31,平均 11*21. 高分辨率帧的数量约为低分辨率数量的91倍. ...
Satellite imagery is a critical tool for visualizing ground conditions. Whether you need a foundational map for an app or a comprehensive dataset for business intelligence, Maxar offers both fresh high-resolution imagery and the world’s largest archive for historical analysis.Optical...
dataset, during generation they need to perform super-resolution on the images generated by a low-resolution base model, which may not be of sufficiently high quality in comparison to the original images. This leads to a train-test mismatch for the super-resolution models. Conditioning ...
Unsplash2K is high-resolution image dataset with 2K resolution to train Super-Resolution network. Unsplash2K dataset is crawled from unsplash. Unsplash2K dataset contains 498 high-resolution images and corresponding low-resolution images which are downsampled by bicubic downsamling for x2, x4, x8 sca...