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Found 4 papers, 3 papers with code
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
Action Spotting using Dense Detection Anchors Revisited: Submission to the SoccerNet Challenge 2022
Our submission was based on a recently proposed method which focuses on increasing temporal precision via a densely sampled set of detection anchors.
Ranked #5 on
Action Spotting
on SoccerNet-v2
Temporally Precise Action Spotting in Soccer Videos Using Dense Detection Anchors
We present a model for temporally precise action spotting in videos, which uses a dense set of detection anchors, predicting a detection confidence and corresponding fine-grained temporal displacement for each anchor.
Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis
These two published sets of intuitive geometric features were selected as initial conditions by the present R&D software project, whose multi-objective goal was to accomplish: (i) a minimally dependent and maximally informative design (knowledge/information representation) of a general purpose, user and application independent dictionary of 2D shape terms provided with a physical meaning intuitive to understand by human end users and (ii) an effective (accurate, scale invariant, easy to use) and efficient implementation of 2D shape descriptors.
