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03/27/2023
Label-Free Liver Tumor Segmentation
We demonstrate that AI models can accurately segment liver tumors withou...
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01/02/2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
An increasing number of public datasets have shown a marked clinical imp...
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12/07/2022
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation
The weakly supervised instance segmentation is a challenging task. The e...
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10/26/2022
Synthetic Tumors Make AI Segment Tumors Better
We develop a novel strategy to generate synthetic tumors. Unlike existin...
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10/23/2022
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track
This report describes the winning solution to the semantic segmentation ...
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10/23/2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Vision Transformer (ViT) has become one of the most popular neural archi...
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08/25/2022
Masked Autoencoders Enable Efficient Knowledge Distillers
This paper studies the potential of distilling knowledge from pre-traine...
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11/25/2021
Learning from Temporal Gradient for Semi-supervised Action Recognition
Semi-supervised video action recognition tends to enable deep neural net...
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03/29/2021