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08/13/2023
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision
Unsupervised Domain Adaptation (UDA) has attracted a surge of interest o...
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10/14/2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Domain generalization (DG) enables generalizing a learning machine from ...
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08/26/2022
Towards Higher-order Topological Consistency for Unsupervised Network Alignment
Network alignment task, which aims to identify corresponding nodes in di...
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08/19/2022
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis
During clinical practice, radiologists often use attributes, e.g. morpho...
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06/06/2022
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection
Domain Adaptive Object Detection (DAOD) focuses on improving the general...
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03/24/2022
Compound Domain Generalization via Meta-Knowledge Encoding
Domain generalization (DG) aims to improve the generalization performanc...
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05/21/2021
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection
Mammogram mass detection is crucial for diagnosing and preventing the br...
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03/25/2021
I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
Recent works on two-stage cross-domain detection have widely explored th...
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03/13/2020
Harmonizing Transferability and Discriminability for Adapting Object Detectors
Recent advances in adaptive object detection have achieved compelling re...
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10/28/2019
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
Automatic and accurate segmentation of the ventricles and myocardium fro...
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07/01/2019
Unsupervised Adversarial Graph Alignment with Graph Embedding
Graph alignment, also known as network alignment, is a fundamental task ...
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11/21/2018
