3rd Place Solution to Meta AI Video Similarity Challenge

04/24/2023
by   Shuhei Yokoo, et al.
0

This paper presents our 3rd place solution in both Descriptor Track and Matching Track of the Meta AI Video Similarity Challenge (VSC2022), a competition aimed at detecting video copies. Our approach builds upon existing image copy detection techniques and incorporates several strategies to exploit on the properties of video data, resulting in a simple yet powerful solution. By employing our proposed method, we achieved substantial improvements in accuracy compared to the baseline results (Descriptor Track: 41 Matching Track: 76 https://github.com/line/Meta-AI-Video-Similarity-Challenge-3rd-Place-Solution

READ FULL TEXT
research
05/25/2023

A Similarity Alignment Model for Video Copy Segment Matching

With the development of multimedia technology, Video Copy Detection has ...
research
10/30/2021

Top1 Solution of QQ Browser 2021 Ai Algorithm Competition Track 1 : Multimodal Video Similarity

In this paper, we describe the solution to the QQ Browser 2021 Ai Algori...
research
11/15/2021

2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track

This paper presents the 2nd place solution to the Facebook AI Image Simi...
research
03/12/2018

idtracker.ai: Tracking all individuals in large collectives of unmarked animals

Our understanding of collective animal behavior is limited by our abilit...
research
04/20/2023

Feature-compatible Progressive Learning for Video Copy Detection

Video Copy Detection (VCD) has been developed to identify instances of u...
research
06/29/2022

Technical Report for CVPR 2022 LOVEU AQTC Challenge

This technical report presents the 2nd winning model for AQTC, a task ne...
research
05/28/2021

2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image

In this paper, we present our solution for the IJCAI–PRICAI–20 3D AI Cha...

Please sign up or login with your details

Forgot password? Click here to reset