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08/10/2023
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction
CNNs and Transformers have their own advantages and both have been widel...
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08/03/2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
How to enable learnability for new classes while keeping the capability ...
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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...
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07/02/2023
Referring Video Object Segmentation with Inter-Frame Interaction and Cross-Modal Correlation
Referring video object segmentation (RVOS) aims to segment the target ob...
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06/23/2023
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
Image restoration aims to reconstruct degraded images, e.g., denoising o...
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06/19/2023
FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction
Universal Information Extraction (UIE) has been introduced as a unified ...
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03/12/2023
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration
Diffusion models have recently received a surge of interest due to their...
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03/08/2023
Centroid-centered Modeling for Efficient Vision Transformer Pre-training
Masked Image Modeling (MIM) is a new self-supervised vision pre-training...
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01/09/2023
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction
Convolution neural networks (CNNs) and Transformers have their own advan...
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08/31/2022
ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer
In order to get raw images of high quality for downstream Image Signal P...
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08/28/2021
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images
Road segmentation from remote sensing images is a challenging task with ...
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07/20/2021
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation (UDA) for semantic segmentation aims to a...
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03/02/2021
Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery
As the COVID-19 epidemic began to worsen in the first months of 2020, st...
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03/01/2021
LocalDrop: A Hybrid Regularization for Deep Neural Networks
In neural networks, developing regularization algorithms to settle overf...
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08/09/2020
Recurrent Feature Reasoning for Image Inpainting
Existing inpainting methods have achieved promising performance for reco...
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05/14/2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Convolutional Neural Network (CNN) has demonstrated impressive ability t...
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04/14/2019
Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion
Multi-label learning draws great interests in many real world applicatio...
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04/14/2019
Exploring Representativeness and Informativeness for Active Learning
How can we find a general way to choose the most suitable samples for tr...
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04/08/2019
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images
In hyperspectral remote sensing data mining, it is important to take int...
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04/05/2019
Fast Spatio-Temporal Residual Network for Video Super-Resolution
Recently, deep learning based video super-resolution (SR) methods have a...
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11/23/2018
Defect Detection from UAV Images based on Region-Based CNNs
With the wide applications of Unmanned Aerial Vehicle (UAV) in engineeri...
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08/19/2018
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation
Domain adaptation refers to the process of learning prediction models in...
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07/30/2018
Unsupervised Domain Adaptive Re-Identification: Theory and Practice
We study the problem of unsupervised domain adaptive re-identification (...
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01/13/2014