research
∙
09/18/2023
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
We present DFormer, a novel RGB-D pretraining framework to learn transfe...
share
research
∙
06/07/2023
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
In this paper, we present a simple but performant semi-supervised semant...
research
∙
03/28/2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
A significant research effort is focused on exploiting the amazing capac...
research
∙
11/22/2022
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
This paper does not attempt to design a state-of-the-art method for visu...
research
∙
03/22/2021
DeepViT: Towards Deeper Vision Transformer
Vision transformers (ViTs) have been successfully applied in image class...
research
∙
11/25/2020
Delving Deep into Label Smoothing
Label smoothing is an effective regularization tool for deep neural netw...
research
∙
03/30/2020
PANDA: Prototypical Unsupervised Domain Adaptation
Previous adversarial domain alignment methods for unsupervised domain ad...
research
∙
07/15/2019
