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09/01/2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Domain adaptation (DA) aims to alleviate the domain shift between source...
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07/06/2023
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task
In recent years large model trained on huge amount of cross-modality dat...
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11/30/2022
Design and Verification of a Novel Triphibian Platform
Multi-modal robots expand their operations from one working media to ano...
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10/04/2022
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification
Lifelong object re-identification incrementally learns from a stream of ...
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06/07/2022
One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift
In this paper, we investigate open-set recognition with domain shift, wh...
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05/09/2022
Local Prediction Aggregation: A Frustratingly Easy Source-free Domain Adaptation Method
We propose a simple but effective source-free domain adaptation (SFDA) m...
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10/08/2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Domain adaptation (DA) aims to alleviate the domain shift between source...
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08/03/2021
Generalized Source-free Domain Adaptation
Domain adaptation (DA) aims to transfer the knowledge learned from a sou...
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03/08/2021
On Implicit Attribute Localization for Generalized Zero-Shot Learning
Zero-shot learning (ZSL) aims to discriminate images from unseen classes...
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10/23/2020
Unsupervised Domain Adaptation without Source Data by Casting a BAIT
Unsupervised domain adaptation (UDA) aims to transfer the knowledge lear...
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06/10/2020
Simple and effective localized attribute representations for zero-shot learning
Zero-shot learning (ZSL) aims to discriminate images from unseen classes...
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07/09/2018
Attention to Refine through Multi-Scales for Semantic Segmentation
This paper proposes a novel attention model for semantic segmentation, w...
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07/06/2018
Parallel Convolutional Networks for Image Recognition via a Discriminator
In this paper, we introduce a simple but quite effective recognition fra...
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11/12/2017