Search Results for author: Bin Duan

Found 15 papers, 6 papers with code

Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration

1 code implementation Findings (NAACL) 2022 Shusen Wang, Bin Duan, Yanan Wu, Yajing Xu

In this paper, we propose a novel method based on Instance Ranking and Label Calibration strategies (IRLC) to learn discriminative representations for open relation extraction.

Relation Relation Extraction

Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction

1 code implementation COLING 2022 Bin Duan, Shusen Wang, Xingxian Liu, Yajing Xu

To mitigate the catastrophic forgetting issue, we design the consistency regularization loss to make better use of the pseudo-labels and jointly train the model with both unsupervised and supervised data.

Relation Relation Extraction +1

MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation

no code implementations21 Mar 2024 Bin Xie, Hao Tang, Bin Duan, Dawen Cai, Yan Yan

Each pair of auxiliary mask and box prompts, which can solve the requirements of extra prompts, is associated with class label predictions by the sum of the auxiliary classifier token and the learnable global classifier tokens in the mask decoder of SAM to solve the predictions of semantic labels.

Image Segmentation Medical Image Segmentation +2

Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer

no code implementations21 Mar 2024 Junyi Wu, Bin Duan, Weitai Kang, Hao Tang, Yan Yan

To incorporate the influence of token transformation into interpretation, we propose TokenTM, a novel post-hoc explanation method that utilizes our introduced measurement of token transformation effects.

Online Multi-spectral Neuron Tracing

no code implementations10 Mar 2024 Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan

In this paper, we propose an online multi-spectral neuron tracing method with uniquely designed modules, where no offline training are required.

Towards Saner Deep Image Registration

1 code implementation ICCV 2023 Bin Duan, Ming Zhong, Yan Yan

Moreover, we derive a set of theoretical guarantees for our sanity-checked image registration method, with experimental results supporting our theoretical findings and their effectiveness in increasing the sanity of models without sacrificing any performance.

Image Registration

Query-Utterance Attention with Joint modeling for Query-Focused Meeting Summarization

1 code implementation8 Mar 2023 Xingxian Liu, Bin Duan, Bo Xiao, Yajing Xu

Previous works typically concatenate the query with meeting transcripts and implicitly model the query relevance only at the token level with attention mechanism.

Meeting Summarization Retrieval

Optical Flow Estimation in 360$^\circ$ Videos: Dataset, Model and Application

no code implementations27 Jan 2023 Bin Duan, Keshav Bhandari, Gaowen Liu, Yan Yan

Moreover, we present a novel Siamese representation Learning framework for Omnidirectional Flow (SLOF) estimation, which is trained in a contrastive manner via a hybrid loss that combines siamese contrastive and optical flow losses.

Egocentric Activity Recognition Optical Flow Estimation +1

Learning Omnidirectional Flow in 360-degree Video via Siamese Representation

no code implementations7 Aug 2022 Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan

Optical flow estimation in omnidirectional videos faces two significant issues: the lack of benchmark datasets and the challenge of adapting perspective video-based methods to accommodate the omnidirectional nature.

Optical Flow Estimation Representation Learning

MLP-GAN for Brain Vessel Image Segmentation

no code implementations17 Jul 2022 Bin Xie, Hao Tang, Bin Duan, Dawen Cai, Yan Yan

Brain vessel image segmentation can be used as a promising biomarker for better prevention and treatment of different diseases.

Generative Adversarial Network Image Segmentation +2

Lipschitz Continuity Retained Binary Neural Network

1 code implementation13 Jul 2022 Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

Relying on the premise that the performance of a binary neural network can be largely restored with eliminated quantization error between full-precision weight vectors and their corresponding binary vectors, existing works of network binarization frequently adopt the idea of model robustness to reach the aforementioned objective.

Binarization Quantization

Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning

no code implementations30 Jan 2022 Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

Extensive experiments on CIFAR-10 and CIFAR-100 demonstrate the superiority of our novel Fourier analysis based MBP compared to other traditional MBP algorithms.

Knowledge Distillation Network Pruning

Lipschitz Continuity Guided Knowledge Distillation

no code implementations ICCV 2021 Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

Knowledge distillation has become one of the most important model compression techniques by distilling knowledge from larger teacher networks to smaller student ones.

Knowledge Distillation Model Compression +2

Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation

1 code implementation3 Jul 2019 Bin Duan, Wei Wang, Hao Tang, Hugo Latapie, Yan Yan

However, in machine learning, this cross-modal learning is a nontrivial task because different modalities have no homogeneous properties.

BIG-bench Machine Learning Translation

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