b'Bo Du'

research

∙ 08/31/2023

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

To handle graphs in which features or connectivities are evolving over t...

0 Qiang Huang, et al. ∙

research

∙ 08/28/2023

SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images

Change detection (CD) is a fundamental and important task for monitoring...

0 Haonan Guo, et al. ∙

research

∙ 08/15/2023

Enhancing Visually-Rich Document Understanding via Layout Structure Modeling

In recent years, the use of multi-modal pre-trained Transformers has led...

0 Qiwei Li, et al. ∙

research

∙ 08/11/2023

Rethinking the Localization in Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) is one of the most popular ...

0 Rui Xu, et al. ∙

research

∙ 07/28/2023

Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Pulmonary nodules and masses are crucial imaging features in lung cancer...

0 Zhihao Li, et al. ∙

research

∙ 07/27/2023

IML-ViT: Image Manipulation Localization by Vision Transformer

Advanced image tampering techniques are increasingly challenging the tru...

0 Xiaochen Ma, et al. ∙

research

∙ 07/26/2023

PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions

Relying on large-scale training data with pixel-level labels, previous e...

0 Wenjie Xuan, et al. ∙

research

∙ 07/23/2023

Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction

Buildings are the basic carrier of social production and human life; roa...

0 Haonan Guo, et al. ∙

research

∙ 07/23/2023

Expediting Building Footprint Segmentation from High-resolution Remote Sensing Images via progressive lenient supervision

The efficacy of building footprint segmentation from remotely sensed ima...

0 Haonan Guo, et al. ∙

research

∙ 07/23/2023

DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space

Change detection (CD) is an important yet challenging task in the Earth ...

0 Haonan Guo, et al. ∙

research

∙ 07/20/2023

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Federated learning (FL) has drawn increasing attention owing to its pote...

0 Mang Ye, et al. ∙

research

∙ 07/02/2023

Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers

Optimizer is an essential component for the success of deep learning, wh...

0 Yineng Chen, et al. ∙

research

∙ 06/22/2023

On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling

A pooling operation is essential for effective graph-level representatio...

0 Chuang Liu, et al. ∙

research

∙ 06/19/2023

FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction

Universal Information Extraction (UIE) has been introduced as a unified ...

0 Tianshuo Peng, et al. ∙

research

∙ 06/08/2023

An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection

Accurately detecting lane lines in 3D space is crucial for autonomous dr...

0 Ziye Chen, et al. ∙

research

∙ 06/01/2023

Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective

We focus on the weakly-supervised audio-visual video parsing task (AVVP)...

0 Yingying Fan, et al. ∙

research

∙ 06/01/2023

Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution

Color-guided depth super-resolution (DSR) is an encouraging paradigm tha...

0 Wuxuan Shi, et al. ∙

research

∙ 05/24/2023

Self-Evolution Learning for Discriminative Language Model Pretraining

Masked language modeling, widely used in discriminative language model (...

0 Qihuang Zhong, et al. ∙

research

∙ 05/24/2023

Revisiting Token Dropping Strategy in Efficient BERT Pretraining

Token dropping is a recently-proposed strategy to speed up the pretraini...

0 Qihuang Zhong, et al. ∙

research

∙ 05/23/2023

Improving Heterogeneous Model Reuse by Density Estimation

This paper studies multiparty learning, aiming to learn a model using th...

0 Anke Tang, et al. ∙

research

∙ 04/23/2023

HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search

Recent neural architecture search (NAS) based approaches have made great...

0 Di Wang, et al. ∙

research

∙ 04/22/2023

An Investigation of Face Mask Use with Busking Videos on YouTube during COVID-19: a Case Study in South Korea

Wearing face mask is an effective measure to reduce the risk of COVID-19...

0 Chen Wu, et al. ∙

research

∙ 04/03/2023

Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data

Cross domain pulmonary nodule detection suffers from performance degrada...

0 Rui Xu, et al. ∙

research

∙ 03/24/2023

EMS-Net: Efficient Multi-Temporal Self-Attention For Hyperspectral Change Detection

Hyperspectral change detection plays an essential role of monitoring the...

2 Meiqi Hu, et al. ∙

research

∙ 03/23/2023

Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

Robust generalization aims to tackle the most challenging data distribut...

0 Zhuo Huang, et al. ∙

research

∙ 03/08/2023

Centroid-centered Modeling for Efficient Vision Transformer Pre-training

Masked Image Modeling (MIM) is a new self-supervised vision pre-training...

0 Xin Yan, et al. ∙

research

∙ 03/07/2023

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention

Lung cancer is the leading cause of cancer death worldwide. The best sol...

0 Rui Xu, et al. ∙

research

∙ 03/02/2023

Token Contrast for Weakly-Supervised Semantic Segmentation

Weakly-Supervised Semantic Segmentation (WSSS) using image-level labels ...

0 Lixiang Ru, et al. ∙

research

∙ 02/21/2023

HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection

Very-high-resolution (VHR) remote sensing (RS) image change detection (C...

5 Chengxi Han, et al. ∙

research

∙ 02/19/2023

Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Recently, ChatGPT has attracted great attention, as it can generate flue...

25 Qihuang Zhong, et al. ∙

research

∙ 02/18/2023

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE

This technical report briefly describes our JDExplore d-team's submissio...

15 Qihuang Zhong, et al. ∙

research

∙ 02/16/2023

Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning

Visible-infrared person re-identification (VI-ReID) aims to retrieve ima...

0 Zhihao Qian, et al. ∙

research

∙ 02/13/2023

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning

Adversarial imitation learning has become a widely used imitation learni...

0 Yunke Wang, et al. ∙

research

∙ 12/12/2022

Diff-Font: Diffusion Model for Robust One-Shot Font Generation

Font generation is a difficult and time-consuming task, especially in th...

0 Haibin He, et al. ∙

research

∙ 12/04/2022

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE

This technical report briefly describes our JDExplore d-team's Vega v2 s...

0 Qihuang Zhong, et al. ∙

research

∙ 11/02/2022

DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL

Deep reinforcement learning (DRL) is becoming increasingly popular in im...

0 Liang Zhang, et al. ∙

research

∙ 10/11/2022

Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models

Fine-tuning large pretrained language models on a limited training corpu...

7 Qihuang Zhong, et al. ∙

research

∙ 10/03/2022

Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

Unsupervised multimodal change detection is a practical and challenging ...

10 Hongruixuan Chen, et al. ∙

research

∙ 09/07/2022

Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition

Few-shot visual recognition refers to recognize novel visual concepts fr...

3 Mengya Han, et al. ∙

research

∙ 08/22/2022

PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation

Prompt-tuning, which freezes pretrained language models (PLMs) and only ...

17 Qihuang Zhong, et al. ∙

research

∙ 08/03/2022

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

Convolutional neural networks (CNNs) have been demonstrated to be highly...

0 Rui Xu, et al. ∙

research

∙ 07/27/2022

Leveraging GAN Priors for Few-Shot Part Segmentation

Few-shot part segmentation aims to separate different parts of an object...

7 Mengya Han, et al. ∙

research

∙ 07/18/2022

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks

Graph Neural Networks (GNNs) tend to suffer from high computation costs ...

4 Chuang Liu, et al. ∙

research

∙ 07/07/2022

What Makes for Automatic Reconstruction of Pulmonary Segments

3D reconstruction of pulmonary segments plays an important role in surgi...

14 Kaiming Kuang, et al. ∙

research

∙ 05/30/2022

E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation

Sequence-to-sequence (seq2seq) learning has become a popular trend for p...

1 Qihuang Zhong, et al. ∙

research

∙ 05/30/2022

Robust Weight Perturbation for Adversarial Training

Overfitting widely exists in adversarial robust training of deep network...

0 Chaojian Yu, et al. ∙

research

∙ 04/15/2022

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

Graph neural networks have emerged as a leading architecture for many gr...

0 Chuang Liu, et al. ∙

research

∙ 04/01/2022

An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection

Existing deep learning-based change detection methods try to elaborately...

0 Jia Liu, et al. ∙

research

∙ 03/05/2022

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

Weakly-supervised semantic segmentation (WSSS) with image-level labels i...

0 Lixiang Ru, et al. ∙

research

∙ 03/03/2022

Multi-Tailed Vision Transformer for Efficient Inference

Recently, Vision Transformer (ViT) has achieved promising performance in...

0 Yunke Wang, et al. ∙

Bo Du

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