Challenge Ends 9/18/22
Please note, the challenge end date has been changed to September 18th to allow for more time for report submission and evaluation.
Also note for VQ specifically, you'll need to follow instructions here to download updated annotations for the challenge.
In 2022, we will host 16 challenges, representing each of Ego4D’s five benchmarks. These are:
- Visual queries with 2D localization and VQ 3D localization: Given an egocentric video clip and an image crop depicting the query object, return the last time the object was seen in the input video, in terms of the tracked bounding box (2D + temporal localization) or the 3D displacement vector from the camera to the object in the environment.
- Natural language queries: Given a video clip and a query expressed in natural language, localize the temporal window within all the video history where the answer to the question is evident.
- Moments queries: Given an egocentric video and an activity name (e.g., a “moment”), localize all instances of that activity in the past video
- Temporal localization: Given an egocentric video clip, localize temporally the key frames that indicate an object state change.
- Object state change classification: Given an egocentric video clip, indicate the presence or absence of an object state change.
- State change object detection: Given an egocentric video clip, identify the objects whose states are changing and outline them with bounding boxes.
- Audio-visual localization: Given an egocentric video clip, localize the speakers in the visual field of view.
- Audio-visual speaker diarization: Given an egocentric video clip, identify which person spoke and when they spoke.
- Audio-only Diarization Challenge: Given an egocentric video clip, identify which person spoke and when they spoke based on audio alone.
- Speech transcription: Given an egocentric video clip, transcribe the speech of each person.
- Talking to me: Given an egocentric video clip, identify whether someone in the scene is talking to the camera wearer.
- Looking at me: Given an egocentric video clip, identify whether someone in the scene is looking at the camera wearer.
- Locomotion forecasting: Given a video frame and the past trajectory, predict the future ego positions of the camera wearer (in the form of a 3D trajectory).
- Hand forecasting: Given a short preceding video clip, predict where the hand will be visible in the future, in terms of a bounding box center in keyframes.
- Short-term hand object prediction: Given a video clip, predict the next active objects, the next action, and the time to contact.
- Long-term activity prediction: Given a video clip, the goal is to predict what sequence of activities will happen in the future? For example, after kneading dough, what will the baker do next?
Ego4D challenge participants will use Ego4D’s annotated data set of more than 3,670 hours of video data, capturing the daily-life scenarios of more than 900 unique individuals from nine different countries around the world. Unique train, validation and unannotated test sets are available to download per challenge at https://ego4d-data.org/docs/.
Participate in the contest by registering on the EvalAI challenge page and create a team. All participants must register as a part of a “participating team” on EvalAI to ensure the submission limits are honored. Participants will upload their predictions in the format specified for the specific challenge, and will be evaluated on AWS instance by comparing to ground truth predictions. Instructions for training, local evaluation, and online submission are provided at EvalAI. Please refer to the individual EvalAI pages for each challenge for submission guidelines, task specifications, and evaluation criteria.
Top performing teams will be invited to speak at our accepted CVPR and ECCV workshops in June and October. For the current ECCV challenge set, submissions will be due Sept 18th, 2022.
October 1, 2022 (ECCV Workshop, phase 2)
- Visual Queries
- Natural Language Queries
- PNR Temporal Localization
- Object State Change Classification
- Short-term Object Interaction Anticipation
- Long-term Action Anticipation
- Moments Queries
- 3D Localization
- State Change Object Detection
- Localization and Tracking
- Diarization (Audio)
- Diarization (Audio+Video)
- Looking at Me
- Talking to Me
- Future Hand Prediction
Competition Rules and Prize Information
Competition rules can be found here. Additionally, we are thrilled that FAIR is able to offer the following prize thresholds per challenges:
- First place: $3,000
- Second place: $2,000
- Third place: $1,000
In addition to the submission on EvalAI, participants must submit a report describing their method to the workshop CMT (link TBD). In addition to your method and results, please remember to include examples of positive and negative results (limitations) of your model.
The Ego4D challenge would not have been possible without the infrastructure and support of the EvalAI team. Thank you!
Santhosh Kumar Ramakrishnan
Eric Zhongcong Xu
Giovanni Maria Farinella