research
∙
03/04/2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
In the fashion domain, there exists a variety of vision-and-language (V+...
share
research
∙
10/09/2022
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders
Masked autoencoders (MAEs) have emerged recently as art self-supervised ...
research
∙
07/19/2022
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective
Visual representation learning is the key of solving various vision prob...
research
∙
07/17/2022
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
Large-scale Vision-and-Language (V+L) pre-training for representation le...
research
∙
06/30/2022
PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
3D object detection in autonomous driving aims to reason "what" and "whe...
research
∙
05/13/2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Existing knowledge distillation methods mostly focus on distillation of ...
research
∙
10/15/2019
Learning Generalisable Omni-Scale Representations for Person Re-Identification
An effective person re-identification (re-ID) model should learn feature...
research
∙
03/01/2019
Unsupervised Tracklet Person Re-Identification
Most existing person re-identification (re-id) methods rely on supervise...
research
∙
06/25/2018
