1 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
Google Landmark Retrieval 2021 Competition Third Place Solution
Qishen Ha, Bo Liu, Hongwei Zhang
We present our solutions to the Google Landmark Challenges 2021, for both the retrieval and the recognition tracks. Both solutions are ensembles of transformers and ConvNet models…
Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge
Qishen Ha, Bo Liu, Fuxu Liu
We present our winning solution to the SIIM-ISIC Melanoma Classification Challenge. It is an ensemble of convolutions neural network (CNN) models with different backbones and input…
Google Landmark Recognition 2020 Competition Third Place Solution
Qishen Ha, Bo Liu, Fuxu Liu +1
We present our third place solution to the Google Landmark Recognition 2020 competition. It is an ensemble of global features only Sub-center ArcFace models. We introduce dynamic m…
Constrained-size Tensorflow Models for YouTube-8M Video Understanding Challenge
Tianqi Liu, Bo Liu
This paper presents our 7th place solution to the second YouTube-8M video understanding competition which challenges participates to build a constrained-size model to classify mill…