Name
Abstract | ||
|---|---|---|
This paper summarizes the top contributions to the first semi-supervised hyperspectral object detection (SSHOD) challenge, which was organized as a part of the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop at the Computer Vision and Pattern Recognition (CVPR) conference. The SSHODC challenge is a first-of-its-kind hyperspectral dataset with temporally contiguous frames collected from a university rooftop observing a 4-way vehicle intersection over a period of three days. The dataset contains a total of 2890 frames, captured at an average resolution of 1600 × 192 pixels, with 51 hyperspectral bands from 400nm to 900nm. SSHOD challenge uses 989 images as the training set, 605 images as validation set and 1296 images as the evaluation (test) set. Each set was acquired on a different day to maximize the variance in weather conditions. Labels are provided for 10% of the annotated data, hence formulating a semi-supervised learning task for the participants which is evaluated in terms of average precision over the entire set of classes, as well as individual moving object classes: namely vehicle, bus and bike. The challenge received participation registration from 38 individuals, with 8 participating in the validation phase and 3 participating in the test phase. This paper describes the dataset acquisition, with challenge formulation, proposed methods and qualitative and quantitative results. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/CVPRW56347.2022.00054 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
Keywords | DocType | Volume |
weather condition,image resolution,dataset acquisition,University rooftop,semisupervised learning,moving object classes,CVPR conference,computer vision and pattern recognition conference,PBVS 2022 workshop,perception beyond the visible spectrum 2022 workshop,semisupervised hyperspectral object detection,SSHOD challenge,4-way vehicle intersection,SSHODC challenge | Conference | 2022 |
Issue | ISSN | ISBN |
1 | 2160-7508 | 978-1-6654-8740-5 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
20 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aneesh Rangnekar | 1 | 11 | 3.31 |
| Mulhollan Zachary | 2 | 0 | 1.01 |
| Anthony Vodacek | 3 | 119 | 17.07 |
| Matthew Hoffman | 4 | 0 | 0.34 |
| Angel Sappa | 5 | 0 | 0.34 |
| Erik Blasch | 6 | 1051 | 90.91 |
| Jun Yu | 7 | 0 | 0.34 |
| Liwen Zhang | 8 | 0 | 0.34 |
| Shenshen Du | 9 | 0 | 0.68 |
| Hao Chang | 10 | 0 | 0.34 |
| Keda Lu | 11 | 0 | 0.68 |
| Zhong Zhang | 12 | 0 | 0.34 |
| Fang Gao | 13 | 0 | 0.34 |
| Ye Yu | 14 | 0 | 0.34 |
| Feng Shuang | 15 | 0 | 1.35 |
| Lei Wang | 16 | 0 | 0.34 |
| Qiang Ling | 17 | 251 | 37.43 |
| Pranjay Shyam | 18 | 0 | 0.34 |
| Kuk-Jin Yoon | 19 | 0 | 0.34 |
| Kyung-Soo Kim | 20 | 0 | 0.34 |