【数据竞赛】ICCV 2021 竞赛汇总
ICCV是AI/CV領域的頂會,今年也舉辦了較多的比賽,本文將對相關的比賽進行匯總,方便大家參賽。
ICCV 2021會議地址:http://iccv2021.thecvf.com/home
Advances in Image Manipulation on image and video manipulation
比賽地址:https://data.vision.ee.ethz.ch/cvl/aim21/
This workshop aims to provide an overview of the new trends and advances in those areas. Moreover, it will offer an opportunity for academic and industrial attendees to interact and explore collaborations.
Physics Based Vision meets Deep Learning
比賽地址:https://pbdl-ws.github.io/pbdl2019/challenge/index.html
We propose a semantic segmentation challenge for urban autonomous driving scene which utilizes newly developed hyperspectral camera. The motivation is to compensate the insufficient visual quality problem of existing dataset.
5th International Workshop on Computer Vision for UAVs
比賽地址:https://sites.google.com/view/uavision2021/
Apart from the regular paper submissions track we also organize an ERTI (Embedded Real-Time Inference) challenge. In this challenge competitors need to develop a pedestrian detection framework which runs on an NVIDIA Jetson TX2 with a minimum processing speed of 5 FPS.
2nd Anti-UAV Challenge
比賽地址:https://anti-uav.github.io/
The 2nd anti-UAV challenge extends the benchmark dataset to 250 high-quality, full HD thermal infrared video sequences, spanning multiple occurrences of multi-scale UAVs. The workshop encourages participants to develop automated methods that can detect and track UAVs in thermal infrared videos with high accuracy.
7th workshop on Computer Vision in Plant Phenotyping and Agriculture
比賽地址:https://cvppa2021.github.io/
This workshop plans to showcase the challenges raised by working on computer vision for plant phenotyping and agriculture.
Workshop goals include demonstrating the state-of-the-art, identifying key unsolved problems, and introducing computer scientists with an interest in plant phenotyping to the field.
DeeperAction: Challenge and Workshop on Localized and Detailed Understanding of Human Actions in Videos
比賽地址:https://deeperaction.github.io/
DeeperAction aims to advance the area of human action understanding with a shift from traditional action recognition to deeper understanding tasks of action, with a focus on localized and detailed understanding of human action from videos in the wild.
Specifically, we benchmark three related tasks on localized and detailed action understanding by introducing newly-annotated and high-quality datasets, and organize the action understanding challenge on these benchmarks.
Face Bio-metrics under COVID (Masked Face Recognition Challenge)
比賽地址:https://ibug.doc.ic.ac.uk/resources/masked-face-recognition-challenge-workshop-iccv-21/
During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which poses a huge challenge to face recognition.
Traditional face recognition systems may not effectively recognize the masked faces, but removing the mask for authentication will increase the risk of virus infection. To cope with the above-mentioned challenging scenarios arising from wearing masks, it is crucial to improve the existing face recognition approaches.
1st Workshop on Airborne Object Tracking (AOT)
比賽地址:https://zontakm9.github.io/aot-iccvw21/
GigaVision: when gigapixel videography meets computer vision
比賽地址:http://www.gigavision.cn/ICCV2021.html
Given the popularity of high-performance imaging enabled by the array cameras even in our mobile phones, what are the opportunities and challenges for Computer Vision research? How can computer vision algorithms further help with the array camera to achieve REAL smart? They are open questions demanding prompt solutions. Given this, the 3rd GigaVision Workshop aims to bring the attention from both the computer vision and computational imaging communities.
International Challenge on Compositional and Multimodal Perception
比賽地址:https://campworkshop.org/
We announce the 2nd annual installment of the ”Compositionality and Multimodal Perception” Challenge (CAMP). In this workshop, we have competitions and paper submission related to ”Compositionality" and "Multimodal Perception”.
The 1st Workshop on Learning to Understand Aerial Images
比賽地址:https://captain-whu.github.io/LUAI2021/
Low-Power Computer Vision Workshop
比賽地址:https://lpcv.ai/
LVIS Challenge
比賽地址:https://www.lvisdataset.org/
Given that state-of-the-art deep learning methods for object detection perform poorly in the low-sample regime, we believe that our dataset poses an important and exciting new scientific challenge.
Multi-Agent Interaction and Relational Reasoning
比賽地址:https://www.mair2.com/challenges
We plan to feature the following two challenges in the domain of multi-agent relational reasoning:
TrajNet++, a multi-agent trajectory forecasting challenge in the human behavior/motion domain
CLEVRER, a visual object dynamics reasoning challenge in the physical interaction domain
Multi-camera Multiple People Tracking Workshop
比賽地址:https://iccv2021-mmp.github.io/#challenge
Multi-Modal Video Reasoning and Analyzing Competition
比賽地址:https://sutdcv.github.io/multi-modal-video-reasoning/
Ninth International Workshop on Egocentric Perception, Interaction and Computing: Introducing Ego4D - a massive first-person dataset and challenge
比賽地址:https://eyewear-computing.org/EPIC_ICCV21/
Occluded Video Instance Segmentation
比賽地址:https://ovis-workshop.github.io/index.html#challenge
Open-World Video Object Detection and Segmentation Challenge
比賽地址:https://sites.google.com/view/unidentified-video-object/workshop-and-challenge
Self-supervised Learning for Next-Generation Industry-level Autonomous Driving
比賽地址:https://sslad2021.github.io/
The 1st Video Scene Parsing in the Wild Challenge
比賽地址:https://www.vspwdataset.com/Challenge%202021.html
The 2nd Remote Physiological Signal Sensing (RePSS) Challenge
比賽地址:https://competitions.codalab.org/competitions/30855
Face Anti-spoofing ?(Presentation Attack Detection) Challenge
比賽地址:https://sites.google.com/qq.com/face-anti-spoofing/welcome/challengeiccv2021?authuser=0
The 4th Instance-Level Recognition Workshop
比賽地址:https://ilr-workshop.github.io/ICCVW2021/
VOT2021 Challenge
比賽地址:https://www.votchallenge.net/vot2021/
The ROAD challenge: Event detection for Situation awareness in autonomous driving
比賽地址:https://sites.google.com/view/roadchallangeiccv2021/
2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop
比賽地址:https://vipriors.github.io/challenges/
2nd Workshop and Competition on Affective Behavior Analysis in-the-wild
比賽地址:https://ibug.doc.ic.ac.uk/resources/iccv-2021-2nd-abaw/
Pixel SkelNetOn - ICCV 2021
比賽地址:https://competitions.codalab.org/competitions/21169
Parametric SkelNetOn - ICCV 2021
比賽地址:https://competitions.codalab.org/competitions/21175
Point SkelNetOn - ICCV 2021
比賽地址:https://competitions.codalab.org/competitions/21172
Image SkelNetOn - ICCV 2021
比賽地址:https://competitions.codalab.org/competitions/24536
Chalearn 3D High-Fidelity Mask Face Presentation Attack Detection Challenge@ICCV2021
比賽地址:https://competitions.codalab.org/competitions/30910
往期精彩回顧適合初學者入門人工智能的路線及資料下載機器學習及深度學習筆記等資料打印機器學習在線手冊深度學習筆記專輯《統計學習方法》的代碼復現專輯 AI基礎下載機器學習的數學基礎專輯溫州大學《機器學習課程》視頻 本站qq群851320808,加入微信群請掃碼:總結
以上是生活随笔為你收集整理的【数据竞赛】ICCV 2021 竞赛汇总的全部內容,希望文章能夠幫你解決所遇到的問題。
- 上一篇: 灵魂拷问:机器学习、深度学习专业已经沦为
- 下一篇: 在浏览器中输入网址总是打开同一个网站怎么