Panda-Peter

mean-teacher-cross-domain-detection

Implementation of 'Exploring Object Relation in Mean Teacher for Cross-Domain Detection' [CVPR 2019]

CoTNet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

image-captioning

Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]

ECCV2022

mean-teacher-cross-domain-detection

Implementation of 'Exploring Object Relation in Mean Teacher for Cross-Domain Detection' [CVPR 2019]

visda2019-multisource

Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

visda2019-semisupervised

Source code of our submission (Rank 2) for Semi-Supervised Domain Adaptation task in VisDA-2019

xmodaler

X-modaler is a versatile and high-performance codebase for cross-modal analytics.

Panda-Peter/visda2019-multisource

Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

Panda-Peter/visda2019-semisupervised

Source code of our submission (Rank 2) for Semi-Supervised Domain Adaptation task in VisDA-2019

Panda-Peter/mean-teacher-cross-domain-detection

Implementation of 'Exploring Object Relation in Mean Teacher for Cross-Domain Detection' [CVPR 2019]

Panda-Peter/ECCV2022

Panda-Peter/xmodaler

X-modaler is a versatile and high-performance codebase for cross-modal analytics.