research
∙
07/17/2023
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
Transformer and its variants have been widely used for medical image seg...
share
research
∙
06/14/2023
LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming
Open-domain dialogue systems have made promising progress in recent year...
research
∙
04/19/2023
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification
Generalizable person re-identification (Re-ID) is a very hot research to...
research
∙
02/16/2023
CluCDD:Contrastive Dialogue Disentanglement via Clustering
A huge number of multi-participant dialogues happen online every day, wh...
research
∙
11/03/2022
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
Recently, some pioneering works have preferred applying more complex mod...
research
∙
11/02/2022
Deep Multimodal Fusion for Generalizable Person Re-identification
Person re-identification plays a significant role in realistic scenarios...
research
∙
10/25/2022
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation
Recently, Visual Transformer (ViT) has been widely used in various field...
research
∙
10/11/2021
VTBR: Semantic-based Pretraining for Person Re-Identification
Pretraining is a dominant paradigm in computer vision. Generally, superv...
research
∙
09/22/2021
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
Person re-identification (re-ID) plays an important role in applications...
research
∙
04/06/2021
Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification
Employing clustering strategy to assign unlabeled target images with pse...
research
∙
10/15/2020
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification
Person re-identification (re-ID) plays an important role in applications...
research
∙
06/12/2020