Search Results for author: Minhoe Hur

Found 4 papers, 3 papers with code

Debiased Fine-Tuning for Vision-language Models by Prompt Regularization

no code implementations29 Jan 2023 Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang

We present a new paradigm for fine-tuning large-scale visionlanguage pre-trained models on downstream task, dubbed Prompt Regularization (ProReg).

Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds

1 code implementation ICCV 2023 Ze Yang, Ruibo Li, Evan Ling, Chi Zhang, Yiming Wang, Dezhao Huang, Keng Teck Ma, Minhoe Hur, Guosheng Lin

To address this issue, we propose a new label-guided knowledge distillation (LGKD) loss, where the old model output is expanded and transplanted (with the guidance of the ground truth label) to form a semantically appropriate class correspondence with the new model output.

Continual Semantic Segmentation Knowledge Distillation +1

Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance Segmentation

1 code implementation7 Oct 2022 Evan Ling, Dezhao Huang, Minhoe Hur

In our work, we propose a simple yet effective data-centric approach, Occlusion Copy & Paste, to introduce occluded examples to models during training - we tailor the general copy & paste augmentation approach to tackle the difficult problem of same-class occlusion.

Human Instance Segmentation object-detection +3

Joint Contrastive Learning for Unsupervised Domain Adaptation

1 code implementation18 Jun 2020 Changhwa Park, Jonghyun Lee, Jaeyoon Yoo, Minhoe Hur, Sungroh Yoon

Enhancing feature transferability by matching marginal distributions has led to improvements in domain adaptation, although this is at the expense of feature discrimination.

Contrastive Learning Unsupervised Domain Adaptation

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