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09/12/2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Recent advancements in dense out-of-distribution (OOD) detection have pr...
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06/20/2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Despite deep learning has achieved great success, it often relies on a l...
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10/31/2022
Generative Negative Text Replay for Continual Vision-Language Pretraining
Vision-language pre-training (VLP) has attracted increasing attention re...
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04/08/2022
General Incremental Learning with Domain-aware Categorical Representations
Continual learning is an important problem for achieving human-level int...
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03/31/2021
DER: Dynamically Expandable Representation for Class Incremental Learning
We address the problem of class incremental learning, which is a core st...
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03/30/2021
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
Despite the recent success of deep neural networks, it remains challengi...
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09/08/2019
Dynamic Context Correspondence Network for Semantic Alignment
Establishing semantic correspondence is a core problem in computer visio...
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05/28/2019
