Search Results for author: Siwei Yang

Found 11 papers, 5 papers with code

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

no code implementations15 Apr 2024 Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Yuyin Zhou, Cihang Xie

This study introduces HQ-Edit, a high-quality instruction-based image editing dataset with around 200, 000 edits.


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

1 code implementation23 Mar 2024 Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou

We identify that the Decoder-only 3D-TransUNet model should offer enhanced efficacy in the segmentation of brain metastases, as indicated by our 5-fold cross-validation on the training set.

Brain Tumor Segmentation Decoder +2

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

1 code implementation14 Feb 2024 Siwei Yang, Bingchen Zhao, Cihang Xie

This paper introduces AQA-Bench, a novel benchmark to assess the sequential reasoning capabilities of large language models (LLMs) in algorithmic contexts, such as depth-first search (DFS).

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

no code implementations14 Sep 2023 Shiqiao Meng, Zonglin Di, Siwei Yang, Yin Wang

Our extensive experimental results show that the prediction accuracy increases with the amount of the weakly labeled data, as well as the road density in the areas chosen for training.

Semantic Segmentation Weakly-supervised Learning

Contrastive Multi-Task Dense Prediction

no code implementations16 Jul 2023 Siwei Yang, Hanrong Ye, Dan Xu

A core objective in design is how to effectively model cross-task interactions to achieve a comprehensive improvement on different tasks based on their inherent complementarity and consistency.

Contrastive Learning Representation Learning

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

no code implementations7 Dec 2022 Siwei Yang, Longlong Jing, Junfei Xiao, Hang Zhao, Alan Yuille, Yingwei Li

Through systematic analysis, we found that the commonly used pairwise affinity loss has two limitations: (1) it works with color affinity but leads to inferior performance with other modalities such as depth gradient, (2)the original affinity loss does not prevent trivial predictions as intended but actually accelerates this process due to the affinity loss term being symmetric.

Box-supervised Instance Segmentation Segmentation +2

XCon: Learning with Experts for Fine-grained Category Discovery

1 code implementation3 Aug 2022 Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao

We address the problem of generalized category discovery (GCD) in this paper, i. e. clustering the unlabeled images leveraging the information from a set of seen classes, where the unlabeled images could contain both seen classes and unseen classes.

Clustering Contrastive Learning +1

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

no code implementations28 Jun 2021 Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao

This paper presents the Rail-5k dataset for benchmarking the performance of visual algorithms in a real-world application scenario, namely the rail surface defects detection task.

4k Benchmarking

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

1 code implementation6 Jun 2021 Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang

Visual pattern recognition over agricultural areas is an important application of aerial image processing.

Cannot find the paper you are looking for? You can Submit a new open access paper.