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08/02/2023
Towards Discriminative Representation with Meta-learning for Colonoscopic Polyp Re-Identification
Colonoscopic Polyp Re-Identification aims to match the same polyp from a...
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07/20/2023
Learning Discriminative Visual-Text Representation for Polyp Re-Identification
Colonoscopic Polyp Re-Identification aims to match a specific polyp in a...
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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...
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03/28/2023
AutoKary2022: A Large-Scale Densely Annotated Dateset for Chromosome Instance Segmentation
Automated chromosome instance segmentation from metaphase cell microscop...
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03/28/2023
Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval
Colonoscopic video retrieval, which is a critical part of polyp treatmen...
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02/16/2023
CluCDD:Contrastive Dialogue Disentanglement via Clustering
A huge number of multi-participant dialogues happen online every day, wh...
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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...
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11/02/2022
Deep Multimodal Fusion for Generalizable Person Re-identification
Person re-identification plays a significant role in realistic scenarios...
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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...
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08/24/2022
SubFace: Learning with Softmax Approximation for Face Recognition
The softmax-based loss functions and its variants (e.g., cosface, sphere...
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10/11/2021
VTBR: Semantic-based Pretraining for Person Re-Identification
Pretraining is a dominant paradigm in computer vision. Generally, superv...
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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...
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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...
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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...
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06/12/2020