PASCAL in Detail

Make PASCAL great again!

CVPR 2017 Workshop Challenge

PASCAL in Detail Workshop Challenge, July 26th 2017 @ Room 323C, Hawaii Convention Center

DATASET ROLLOUT (AS OF 7/26)

Image Classification [RELEASED]
Object Detection [RELEASED]
Semantic Segmentation [RELEASED]
Instance Segmentation [RELEASED]
Object Part Segmentation [RELEASED]
Objectness Estimation [RELEASED]
Boundary Detection [RELEASED]
Occlusion Recognition [RELEASED]
Human Keypoint Estimation [RELEASED]
Human Action Recognition

The latest published dataset, trainval_withkeypoints.json, was published on July 26.

Check out the Dataset page for the latest news!

Overview

The goal of this workshop-challenge is to measure the progress in image understanding as reflected in a diverse set of visual tasks, capturing both low- and high-level aspects of vision problems. To accomplish this we systematize the evaluation of a large selection of representative visual tasks using carefully collected manual annotations. We thereby aspire to promote research that pushes the performance envelope in all facets of current computer vision research.

We will be having separate benchmarks for each of our competition tracks and winning entries will be invited to present their works.

We also introduce for the first time task triathlons for selected task combinations, as well as a task decathlon, where a single model will need to solve all 10 tasks combined. See the Multi-Task Challenges page for more info.

We also introduce taster challenges, including the Visual Domain Decathlon, where a single model will perform classification on ten different domains - lifting our eyes from flowers to airplanes.

Keynote speakers

Antonio Torralba (Professor at MIT)

Kevin Murphy (Research Scientist at Google)

Larry Zitnick (Research Manager at FAIR)

Kaiming He (Research Scientist at FAIR)

Larry Zitnick

Kaiming He

Schedule

(Updated: 07/26)

July 26th

9:00 - 9:30 Introduction and welcome (A. Yuille)

9:30 - 10:30 Single-track challenges and benchmarks

10:30 - 11:00 Invited keynote I (A. Torralba)

11:00 - 12:00 Invited keynote II (K. Murphy)

Lunch Break

14:00 - 14:45 Invited keynote III (L. Zitnick)

14:45 - 15:30 Decathlon challenges

15:30 - 16:00 Invited keynote IV (K. He)

Mask R-CNN

Single-Track Challenges

Image Classification
Object Detection
Semantic Segmentation
Instance Segmentation
Object Part Segmentation
Objectness
Boundary Detection
Occlusion Recognition
Human Keypoint Estimation
Human Action Recognition

Tasters

Saliency Estimation
Line Segment Detection
Symmetry Detection

Multi-Task Challenges

Boxes to Points Triathlon:

Object Detection, Instance Segmentation, Keypoint Estimation

PASCAL++ Triathlon:

Image Classification, Object Detection, Semantic Segmentation

Humans in Detail Triathlon:

Human Parts, Keypoints, Action

PASCAL Decathlon:

All 10 tasks

Multi-Domain Challenge

VGG Domain Decathlon:

Image Classification in 10 Domains

Organizers and Technical Staffs

Sanja Fidler

Iasonas Kokkinos

Roozbeh Mottaghi

George Papandreou

Raquel Urtasun

Andrea Vedaldi

Alan L. Yuille

In alphabetical order of last names

Sanja Fidler (Univ. Toronto)
Iasonas Kokkinos (UCL; FAIR)
Roozbeh Mottaghi (Allen Institute)
George Papandreou (Google)
Raquel Urtasun (Univ. Toronto)
Andrea Vedaldi (Univ. Oxford)
Alan L. Yuille (Johns Hopkins Univ.)

Xianjie Chen (Facebook Research)
Nam-Gyu Cho (Korean Univ.)
Xiaodi Hou (TuSimple)
Seong-Whan Lee (Korean Univ.)
Yin Li (Gerogia Tech. Univ.)
Xiaochen Lian (Baidu Research)
Qing Liu (Johns Hopkins Univ.)
Xiaobai Liu (San Diego State Univ.)
Viet T. Nguyen (Jet Propulsion Lab)
Vittal Premachandran (Johns Hopkins Univ.)
Matthew Richard (Johns Hopkins Univ.)
Wei Shen (Shanghai Univ.; Johns Hopkins Univ.)
Peng Wang (Baidu Research)
Xiang Xiang (Johns Hopkins Univ.)
Zhuotun Zhu (Johns Hopkins Univ.)

Please do not hesitate to contact pascalindetail@gmail.com regarding any issues about this challenge.

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