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...
share
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...
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...
research
∙
08/11/2023
Rethinking the Localization in Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) is one of the most popular ...
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...
research
∙
07/27/2023
IML-ViT: Image Manipulation Localization by Vision Transformer
Advanced image tampering techniques are increasingly challenging the tru...
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...
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...
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...
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 ...
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...
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...
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...
research
∙
06/19/2023
FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction
Universal Information Extraction (UIE) has been introduced as a unified ...
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...
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)...
research
∙
06/01/2023
Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution
Color-guided depth super-resolution (DSR) is an encouraging paradigm tha...
research
∙
05/24/2023
Self-Evolution Learning for Discriminative Language Model Pretraining
Masked language modeling, widely used in discriminative language model (...
research
∙
05/24/2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
Token dropping is a recently-proposed strategy to speed up the pretraini...
research
∙
05/23/2023
Improving Heterogeneous Model Reuse by Density Estimation
This paper studies multiparty learning, aiming to learn a model using th...
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...
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...
research
∙
04/03/2023
Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data
Cross domain pulmonary nodule detection suffers from performance degrada...
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...
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...
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...
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...
research
∙
03/02/2023
Token Contrast for Weakly-Supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation (WSSS) using image-level labels ...
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...
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...
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...
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...
research
∙
02/13/2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Adversarial imitation learning has become a widely used imitation learni...
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...
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...
research
∙
11/02/2022
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL
Deep reinforcement learning (DRL) is becoming increasingly popular in im...
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...
research
∙
10/03/2022
Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
Unsupervised multimodal change detection is a practical and challenging ...
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...
research
∙
08/22/2022
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Prompt-tuning, which freezes pretrained language models (PLMs) and only ...
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...
research
∙
07/27/2022
Leveraging GAN Priors for Few-Shot Part Segmentation
Few-shot part segmentation aims to separate different parts of an object...
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 ...
research
∙
07/07/2022
What Makes for Automatic Reconstruction of Pulmonary Segments
3D reconstruction of pulmonary segments plays an important role in surgi...
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...
research
∙
05/30/2022
Robust Weight Perturbation for Adversarial Training
Overfitting widely exists in adversarial robust training of deep network...
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...
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...
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...
research
∙
03/03/2022
