转自：Coggle数据科学

Workshop on Autonomous Driving

http://cvpr2022.wad.vision/

We host three challenges to foster research in computer vision and motion prediction for autonomous driving. Waymo, Argo AI and BDD have prepared large-scale benchmark datasets with high-quality ground truth annotations. We invite researchers around the world to invent new algorithms to tackle a range of challenging, realistic autonomous driving tasks.

Neural Architecture Search Second lightweight NAS challenge

https://cvpr-nas.com/

Track1：Supernet Track

Parameter sharing based OneshotNAS approaches can significantly reduce the training cost. However, there are still three issues to be urgently solved in the development of lightweight NAS. Among which, the consistence issue is one of major promblem of weight-sharing NAS.

Track2：Performance prediction Track

Predicting the performance of any architecture accurately without training is very important. Based on this, we can not only deeply analyze architectures with good performances, but also architectures with poor performances.

Track3：Unseen data Track

There is a lot of evidence that Neural Architecture Search can produce excellent models capable of ML tasks on well-known datasets -  datasets like CIFAR-10 and ImageNet where years of research have created a set of best practices to follow to achieve good results.

Workshop and Challenge on Computer Vision in the Built Environment

https://cv4aec.github.io/

The workshop will host the 1st International Scan-to-BIM challenge. The challenge will include the following tasks:

  • Floorplan Reconstruction
  • 3D Building Model Reconstruction

3rd SHApe Recovery from Partial textured 3D scans (SHARP)

https://cvi2.uni.lu/sharp2022/

Recovery of Partial Textured Scans

  • Track 1: Recovering textured human body scans from partial acquisitions. The dataset used in this scope is the 3DBodyTex.v2 dataset, containing 2500 textured 3D scans. It is an extended version of the original 3DBodyTex.v1 dataset, first published in the 2018 International Conference on 3D Computer Vision, 3DV 2018.
  • Track 2: Recovering textured object scans from partial acquisitions. It involves the recovery of generic object scans from the 3DObjTex.v1 dataset, which is a subset from the ViewShape online repository of 3D scans. This dataset contains over 2000 various generic objects with different levels of complexity in texture and geometry.

Recovery of Parametric Sharp Edges in 3D Object Scans

  • Track 1: Recovering linear sharp edges. A subset of the CC3D-PSE dataset is considered in this track which includes only linear sharp edges.
  • Track 2:  Recovering sharp edges as linear, circular, and spline segments. The whole CC3D-PSE will be used in this track.

The 4th Large-scale Video Object Segmentation Challenge

https://youtube-vos.org/challenge/2022/

  • Track 1: Video Object Segmentation
  • Track 2: Video Instance Segmentation
  • Track 3: Referring Video Object Segmentation

3rd Workshop and Competition on Affective Behavior Analysis In-The-Wild (ABAW)

https://ibug.doc.ic.ac.uk/resources/cvpr-2022-3rd-abaw/

  • Valence-Arousal (VA) Estimation Challenge
  • Expression (Expr) Classification Challenge
  • Action Unit (AU) Detection Challenge
  • Multi-Task-Learning (MTL) Challenge

Embodied AI Workshop

https://embodied-ai.org/

Challenge winners will be given the opportunity to present a talk at the workshop. Since many challenges can be grouped into similar tasks, we encourage participants to submit models to more than 1 challenge. The table below describes, compares, and links each challenge.

5th Workshop and Challenge on Learned Image Compression

http://compression.cc/

  • Image Compression
  • Video Compression
  • Perceptual Metrics

5th UG2+ Prize Challenge

http://cvpr2022.ug2challenge.org/

  • Object Detection in Haze
  • Semi-supervised Action Recognition From Dark Videos
  • Atmospheric Turbulence Mitigation

MultiEarth 2022

https://sites.google.com/view/rainforest-challenge

  • Image-to-Image Translation
  • Matrix Completion
  • Downstream Task

7th Workshop on Benchmarking Multi-Target Tracking

https://motchallenge.net/workshops/bmtt2022/

MOTSynth2MOT17 track

For this track, participants can use all the annotation modalities in MOTSynth, and test their pedestrian bounding box tracking methods on the MOT17 test set, under the private detections setting.

MOTSynth2MOTS20 track

For this track, participants can use all the annotation modalities in MOTSynth, and test their tracking and segmentation methods on the MOTS20 (a.k.a. MOTSChallenge) test set.

The 3rd International Workshop and Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture

https://www.agriculture-vision.com/

Agriculture-Vision

The Agriculture-Vision Challenge is a multi-class semantic segmentation model based using high-resolution aerial imagery to identify key agronomic patterns of interest.  This year’s track is similar to last year's supervised challenge; models must only use the provided dataset.

Crop Harvest

The CropHarvest dataset is a global remote sensing dataset from a variety of agricultural land use datasets and remote sensing products.

Workshop on Continual Learning in Computer Vision

https://sites.google.com/view/clvision2022

  • Demo Track 1：Continual instance-level object classification
  • Demo Track 2：Continual category-level object detection

ScanNet Indoor Scene Understanding Challenge

http://www.scan-net.org/cvpr2022workshop/

  • 2D semantic label prediction: prediction of object category labels from 2D image representation
  • 2D semantic instance prediction: prediction of object instance and category labels from 2D image representation
  • 3D semantic label prediction: prediction of object category labels from 3D representation
  • 3D semantic instance prediction: prediction of object instance and category labels from 3D representation
  • Scene type classification: classification of entire 3D room into a scene type

Robustness in Sequential Data

https://rosecvpr22.github.io/

We will use existing benchmark datasets in activity recognition for the evaluation including Kinetics-400, UCF-101, and HMDB-51.

AI City Challenge

https://www.aicitychallenge.org/

  • Challenge Track 1: City-Scale Multi-Camera Vehicle Tracking
  • Challenge Track 2: Tracked-Vehicle Retrieval by Natural Language Descriptions
  • Challenge Track 3: Naturalistic Driving Action Recognition
  • Challenge Track 4: Multi-Class Product Counting & Recognition for Automated Retail Checkout

Joint International 1st Ego4D and 10th EPIC Workshop

https://sites.google.com/view/cvpr2022w-ego4d-epic/

In 2022, we will host 16 challenges, representing each of Ego4D’s five benchmarks.

EARTHVISION 2022

https://www.grss-ieee.org/events/earthvision-2022/

We are pleased to announce that EarthVision 2022 will feature the upcoming SpaceNet 8 Challenge. Details will be announced soon. Stay tuned!

NTIRE 2022

https://data.vision.ee.ethz.ch/cvl/ntire22/

NTIRE 2022 image challenges

  • Spectral Reconstruction from RGB
  • Multi-Spectral Filter Array Demosaicing
  • Perceptual Image Quality Assessment: Track 1 Full-Reference
  • Perceptual Image Quality Assessment: Track 2 No-Reference
  • Inpainting: Track 1 Unsupervised
  • Inpainting: Track 2 Semantic
  • Night Photography Rendering
  • Efficient Super-Resolution
  • Learning the Super-Resolution Space

NTIRE 2022 video/multi-frame challenges

  • Super-Resolution and Quality Enhancement of Compressed Video: Track 1 Enhancement
  • Super-Resolution and Quality Enhancement of Compressed Video: Track 2 Enhancement, x2 SR
  • Super-Resolution and Quality Enhancement of Compressed Video: Track 3 Enhancement, x4 SR
  • High Dynamic Range (HDR): Track 1 Low-complexity (fidelity constrain)
  • High Dynamic Range (HDR): Track 2 Fidelity (low-complexity constrain)
  • Stereo Super-Resolution
  • Burst Super-Resolution: Track 1 Synthetic
  • Burst Super-Resolution: Track 2 Real

Mobile AI 2022 challenges (will start end of March)

  • Rendering Realistic Bokeh
  • Learned Smartphone ISP
  • Monocular Depth Estimation
  • Video Super-Resolution
  • Image Super-Resolution

Mobile AI 2022

https://ai-benchmark.com/workshops/mai/2022/

ACDC CHALLENGE 2022

https://acdc.vision.ee.ethz.ch/news

The ACDC Challenge 2022 on semantic segmentation in adverse visual conditions is organized in conjunction with the CVPR 2022 workshop Vision for All Seasons. The challenge is based on the public ACDC benchmarks and it will run until June 3, 2022. It features four tracks:

PBVS 2022 workshop

https://pbvs-workshop.github.io/challenge.html

  • 3rd Thermal Image Super-Resolution Challenge (TISR)
  • Multi-modal Aerial View Object Classification Challenge (MAVOC)
  • Semi-Supervised Hyperspectral Object Detection Challenge (SSHODC)

Deep Learning for Geometric Computing

https://sites.google.com/view/dlgc-workshop-cvpr2022/challenge

The SkelNetOn Challenge is structured around shape understanding in four domains. We provide shape datasets and some complementary resources (e.g, pre/post-processing, sampling, and data augmentation scripts) and the testing platform.

AliProducts2: Large-scale Cross-Modal Product Retrieval

https://tianchi.aliyun.com/competition/entrance/531884/

AVA: Accessibility, Vision, and Autonomy Meet

https://accessibility-cv.github.io/

The challenge involves a synthetic instance segmentation benchmark incorporating use-cases of autonomous systems interacting with pedestrians with disabilities.

2022 VizWiz Grand Challenge Workshop

https://vizwiz.org/workshops/2022-workshop/

  • visual question answering challenge task
  • the answer grounding challenge
  • few-shot object recognition challenge

AI for Content Creation Workshop

https://ai4cc.net/

We are planning an AI-based design competition and an AI-based image generation competition. More details coming soon.

The Art of Robustness: Devil and Angel in Adversarial Machine Learning

https://artofrobust.github.io/#challenge

  • Track I: Classification Task Defense
  • Track II: Open Set Defense

Efficient Deep Learning for Computer Vision

https://sites.google.com/view/ecv2022/home

Low Power Computer Vision Challenge

  • UVA Video Track: Track multiple moving objects in video captured by an unmanned aerial vehicle (UAV) at Purdue University with people throwing balls.

  • FPGA Detection Track: Perform object detection using a field programming gate array (FPGA) on Xilinx's Deep Learning Processing Unit.

MABe Challenge 2022

https://www.aicrowd.com/challenges/multi-agent-behavior-challenge-2022

Can you learn a representation of multi-agent behavior from trajectory and video data?

Representation learning has transformed our understanding of data in domains such as images and language. The goal is to learn behavioral representations that can be effectively applied to a variety of downstream behavior analysis tasks.

Visual Perception and Learning in an Open World

http://www.cs.cmu.edu/~shuk/vplow.html

  • Open-world image recognition with online testing requires a model to recognize unknown examples and continously learn them.
  • Continual LEArning on Real-World Imagery (CLEAR) is a realistic setup for continual learning with natural data distribution shift spanning a decade.
  • General Robust Image Task Benchmark (GRIT) evaluates the performance and robustness of a vision system across a variety of image prediction tasks, concepts, and data sources.

Image Matching: Local Features & Beyond

https://image-matching-workshop.github.io/

  • Image Matching Benchmark
  • Image Matching Challenge

The Ninth Workshop on Fine-Grained Visual Categorization

https://sites.google.com/view/fgvc9

  • eBay eProduct Challenge 2022

Search to recognize same products from one million images

  • FungiCLEF2022

Automatic Fungi Recognition as an open-set machine learning problem

  • GeoLifeCLEF2022

Location-based species presence prediction

Kaggle Competition

  • HerbariumChallenge2022

Identify plant species of the Americas from herbarium specimens

  • iWildCam2022

Count the number of animals in a sequence of images

  • SnakeCLEF2022

Recognize Snake species all around the world

  • Hotel-ID for Human Trafficking

Recognizing hotels to aid Human trafficking investigations

  • Sorghum Cultivars 2022

Identify crop varietals

 

 

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