Search Results for author: Yihang Liu

Found 8 papers, 2 papers with code

3D-GRES: Generalized 3D Referring Expression Segmentation

2 code implementations30 Jul 2024 Changli Wu, Yihang Liu, Jiayi Ji, Yiwei Ma, Haowei Wang, Gen Luo, Henghui Ding, Xiaoshuai Sun, Rongrong Ji

3D Referring Expression Segmentation (3D-RES) is dedicated to segmenting a specific instance within a 3D space based on a natural language description.

Object Referring Expression +3

Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue

no code implementations13 Dec 2023 Yizhe Yang, Heyan Huang, Yihang Liu, Yang Gao

Knowledge-grounded dialogue is a task of generating an informative response based on both the dialogue history and external knowledge source.

Knowledge Graphs Model Selection

FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations

no code implementations4 Dec 2023 Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang

Due to the unique multi-instance learning of medical images and the difficulty in identifying decision-making regions, many interpretability models that have been proposed still have problems of insufficient accuracy and interpretability in medical image disease diagnosis.

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks

no code implementations12 Jan 2023 Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He

Saliency methods generating visual explanatory maps representing the importance of image pixels for model classification is a popular technique for explaining neural network decisions.

Decoupling Deep Learning for Interpretable Image Recognition

no code implementations15 Oct 2022 Yitao Peng, Yihang Liu, Longzhen Yang, Lianghua He

It decouples the inference and interpretation modules of a prototype-based network by avoiding the use of prototype activation to explain the network's decisions in order to simultaneously improve the accuracy and interpretability of the neural network.

Decision Making Decoder +1

MDM: Multiple Dynamic Masks for Visual Explanation of Neural Networks

no code implementations17 Jul 2022 Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He

We applied the MDM method to the interpretable neural networks ProtoPNet and XProtoNet, which improved the performance of model in the explainable prototype search.

Classification

Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning

1 code implementation28 May 2022 Longzhen Yang, Yihang Liu, Yitao Peng, Lianghua He

In this work, we will show that the inferior standard of accuracy draws from human annotations (leave-one-out) are not appropriate for machine-generated captions.

Diversity Image Captioning +2

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