Alert button
Picture for Siwei Yang

Siwei Yang

Alert button

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge

Add code
Bookmark button
Alert button
Mar 23, 2024
Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou

Viaarxiv icon

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability

Add code
Bookmark button
Alert button
Feb 14, 2024
Siwei Yang, Bingchen Zhao, Cihang Xie

Viaarxiv icon

Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery

Add code
Bookmark button
Alert button
Sep 14, 2023
Shiqiao Meng, Zonglin Di, Siwei Yang, Yin Wang

Figure 1 for Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery
Figure 2 for Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery
Figure 3 for Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery
Figure 4 for Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery
Viaarxiv icon

Contrastive Multi-Task Dense Prediction

Add code
Bookmark button
Alert button
Jul 16, 2023
Siwei Yang, Hanrong Ye, Dan Xu

Figure 1 for Contrastive Multi-Task Dense Prediction
Figure 2 for Contrastive Multi-Task Dense Prediction
Figure 3 for Contrastive Multi-Task Dense Prediction
Figure 4 for Contrastive Multi-Task Dense Prediction
Viaarxiv icon

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

Add code
Bookmark button
Alert button
Apr 17, 2023
Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan Yuille, Adam Kortylewski

Figure 1 for OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Figure 2 for OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Figure 3 for OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Figure 4 for OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Viaarxiv icon

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation

Add code
Bookmark button
Alert button
Dec 07, 2022
Siwei Yang, Longlong Jing, Junfei Xiao, Hang Zhao, Alan Yuille, Yingwei Li

Figure 1 for AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation
Figure 2 for AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation
Figure 3 for AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation
Figure 4 for AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation
Viaarxiv icon

XCon: Learning with Experts for Fine-grained Category Discovery

Add code
Bookmark button
Alert button
Aug 03, 2022
Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao

Figure 1 for XCon: Learning with Experts for Fine-grained Category Discovery
Figure 2 for XCon: Learning with Experts for Fine-grained Category Discovery
Figure 3 for XCon: Learning with Experts for Fine-grained Category Discovery
Figure 4 for XCon: Learning with Experts for Fine-grained Category Discovery
Viaarxiv icon

Rail-5k: a Real-World Dataset for Rail Surface Defects Detection

Add code
Bookmark button
Alert button
Jun 28, 2021
Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao

Figure 1 for Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Figure 2 for Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Figure 3 for Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Figure 4 for Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Viaarxiv icon

Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization

Add code
Bookmark button
Alert button
Jun 06, 2021
Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang

Figure 1 for Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
Figure 2 for Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
Figure 3 for Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
Figure 4 for Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
Viaarxiv icon

The 1st Agriculture-Vision Challenge: Methods and Results

Add code
Bookmark button
Alert button
Apr 23, 2020
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Junhee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt B. Salberg, Alexandre Barbosa, Rodrigo Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng, Van Thong Huynh, Soo-Hyung Kim, In-Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay Talbar, Jianyu Tang

Figure 1 for The 1st Agriculture-Vision Challenge: Methods and Results
Figure 2 for The 1st Agriculture-Vision Challenge: Methods and Results
Figure 3 for The 1st Agriculture-Vision Challenge: Methods and Results
Figure 4 for The 1st Agriculture-Vision Challenge: Methods and Results
Viaarxiv icon