Search Results for author: Zhuotao Tian

Found 21 papers, 16 papers with code

Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training

1 code implementation18 Aug 2023 Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao

In contrast, such privilege has not yet fully benefited 3D deep learning, mainly due to the limited availability of large-scale 3D datasets.

Ranked #2 on 3D Semantic Segmentation on ScanNet200 (using extra training data)

3D Semantic Segmentation LIDAR Semantic Segmentation +1

Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement

1 code implementation6 Aug 2023 Zhenhua Ning, Zhuotao Tian, Guangming Lu, Wenjie Pei

Although extensive research has been conducted on 3D point cloud segmentation, effectively adapting generic models to novel categories remains a formidable challenge.

Point Cloud Segmentation Segmentation

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract

no code implementations27 Jun 2023 Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

We hope our work can benefit broader industrial applications where novel classes with limited annotations are required to be decently identified.

Few-Shot Semantic Segmentation Segmentation +2

Decoupled Kullback-Leibler Divergence Loss

4 code implementations23 May 2023 Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang

In this paper, we delve deeper into the Kullback-Leibler (KL) Divergence loss and observe that it is equivalent to the Doupled Kullback-Leibler (DKL) Divergence loss that consists of 1) a weighted Mean Square Error (wMSE) loss and 2) a Cross-Entropy loss incorporating soft labels.

Adversarial Defense Adversarial Robustness +1

Learning Context-aware Classifier for Semantic Segmentation

2 code implementations21 Mar 2023 Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia

Semantic segmentation is still a challenging task for parsing diverse contexts in different scenes, thus the fixed classifier might not be able to well address varying feature distributions during testing.

Segmentation Semantic Segmentation

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

no code implementations28 Sep 2022 Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi

3D scenes are dominated by a large number of background points, which is redundant for the detection task that mainly needs to focus on foreground objects.

3D Object Detection object-detection

Generalized Parametric Contrastive Learning

4 code implementations26 Sep 2022 Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia

Based on theoretical analysis, we observe that supervised contrastive loss tends to bias high-frequency classes and thus increases the difficulty of imbalanced learning.

Contrastive Learning Domain Generalization +3

Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions

1 code implementation21 Sep 2022 Dong Zhang, Yi Lin, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, Kwang Ting Cheng

Over the past few years, the rapid development of deep learning technologies for computer vision has significantly improved the performance of medical image segmentation (MedISeg).

Data Augmentation Domain Adaptation +3

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

1 code implementation20 Jul 2022 Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, LiWei Wang, Jiaya Jia

Unsupervised domain adaptation in semantic segmentation has been raised to alleviate the reliance on expensive pixel-wise annotations.

Segmentation Semantic Segmentation +2

SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment

no code implementations2 Mar 2022 Yixin Chen, Zhuotao Tian, Pengguang Chen, Shu Liu, Jiaya Jia

We revisit the one- and two-stage detector distillation tasks and present a simple and efficient semantic-aware framework to fill the gap between them.

Instance Segmentation object-detection +2

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation

1 code implementation ICCV 2021 Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia

To address the high cost and challenges of 3D point-level labeling, we present a method for semi-supervised point cloud semantic segmentation to adopt unlabeled point clouds in training to boost the model performance.

3D Semantic Segmentation Contrastive Learning +1

ResLT: Residual Learning for Long-tailed Recognition

5 code implementations26 Jan 2021 Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia

From this perspective, the trivial solution utilizes different branches for the head, medium, and tail classes respectively, and then sums their outputs as the final results is not feasible.

Long-tail Learning

Generalized Few-shot Semantic Segmentation

1 code implementation CVPR 2022 Zhuotao Tian, Xin Lai, Li Jiang, Shu Liu, Michelle Shu, Hengshuang Zhao, Jiaya Jia

Then, since context is essential for semantic segmentation, we propose the Context-Aware Prototype Learning (CAPL) that significantly improves performance by 1) leveraging the co-occurrence prior knowledge from support samples, and 2) dynamically enriching contextual information to the classifier, conditioned on the content of each query image.

Generalized Few-Shot Semantic Segmentation Segmentation +1

Prior Guided Feature Enrichment Network for Few-Shot Segmentation

3 code implementations4 Aug 2020 Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, Jiaya Jia

It consists of novel designs of (1) a training-free prior mask generation method that not only retains generalization power but also improves model performance and (2) Feature Enrichment Module (FEM) that overcomes spatial inconsistency by adaptively enriching query features with support features and prior masks.

Few-Shot Semantic Segmentation Semantic Segmentation

Region Refinement Network for Salient Object Detection

no code implementations27 Jun 2019 Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Jiaze Wang, Ruiyu Li, Xiaoyong Shen, Jiaya Jia

Albeit intensively studied, false prediction and unclear boundaries are still major issues of salient object detection.

object-detection Portrait Segmentation +4

Learning Shape-Aware Embedding for Scene Text Detection

no code implementations CVPR 2019 Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou, Xiaoyong Shen, Jiaya Jia

We address the problem of detecting scene text in arbitrary shapes, which is a challenging task due to the high variety and complexity of the scene.

Instance Segmentation Scene Text Detection +3

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