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09/13/2023
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Remote sensing object detection (RSOD), one of the most fundamental and ...
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08/27/2023
Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids
Drones have been widely used in many areas of our daily lives. It reliev...
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05/21/2023
DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model
Hyperspectral image change detection (HSI-CD) has emerged as a crucial r...
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05/09/2023
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing
The knowledge distillation uses a high-performance teacher network to gu...
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03/28/2023
An EMO Joint Pruning with Multiple Sub-networks: Fast and Effect
The network pruning algorithm based on evolutionary multi-objective (EMO...
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03/22/2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
To address the challenges of long-tailed classification, researchers hav...
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03/08/2023
SoftMatch Distance: A Novel Distance for Weakly-Supervised Trend Change Detection in Bi-Temporal Images
General change detection (GCD) and semantic change detection (SCD) are c...
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02/06/2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search
The construction of machine learning models involves many bi-level multi...
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12/30/2022
Delving into Semantic Scale Imbalance
Model bias triggered by long-tailed data has been widely studied. Howeve...
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04/21/2022
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information
Weakly supervised object detection (WSOD) is a challenging task, in whic...
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04/07/2022
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks
Influence maximization is a key issue for mining the deep information of...
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03/26/2022
Adaptively Lighting up Facial Expression Crucial Regions via Local Non-Local Joint Network
Facial expression recognition (FER) is still one challenging research du...
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03/24/2022
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Dynamic attention mechanism and global modeling ability make Transformer...
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12/07/2021
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition
Recently, a massive number of deep learning based approaches have been s...
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11/22/2021
MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images
Ship detection in aerial images remains an active yet challenging task d...
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11/21/2021
FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
Existing anchor-base oriented object detection methods have achieved ama...
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11/04/2021
Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification
Sparse representation-based classification (SRC) has attracted much atte...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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08/03/2021
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
Semantic segmentation has been continuously investigated in the last ten...
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07/27/2021
Unsupervised Outlier Detection using Memory and Contrastive Learning
Outlier detection is one of the most important processes taken to create...
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07/25/2021
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
In this paper, we focus on the challenging multicategory instance segmen...
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07/23/2021
Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition
By utilizing label distribution learning, a probability distribution is ...
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07/14/2021
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images
Locating diseases in chest X-ray images with few careful annotations sav...
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06/18/2021
Quantized Neural Networks via -1, +1 Encoding Decomposition and Acceleration
The training of deep neural networks (DNNs) always requires intensive re...
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06/14/2021
Balanced Coarsening for Multilevel Hypergraph Partitioning via Wasserstein Discrepancy
We propose a balanced coarsening scheme for multilevel hypergraph partit...
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05/07/2021
More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
Feature alignment between domains is one of the mainstream methods for U...
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05/04/2021
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
As an effective technique to achieve the implementation of deep neural n...
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03/09/2021
MWQ: Multiscale Wavelet Quantized Neural Networks
Model quantization can reduce the model size and computational latency, ...
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03/04/2021
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization
Since model quantization helps to reduce the model size and computation ...
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10/21/2020
Boosting Gradient for White-Box Adversarial Attacks
Deep neural networks (DNNs) are playing key roles in various artificial ...
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10/09/2020
Contralaterally Enhanced Networks for Thoracic Disease Detection
Identifying and locating diseases in chest X-rays are very challenging, ...
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06/10/2020
MultiResolution Attention Extractor for Small Object Detection
Small objects are difficult to detect because of their low resolution an...
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05/29/2020
A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection
Recently, many Convolution Neural Networks (CNN) have been successfully ...
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05/27/2020
Counterfactual Detection meets Transfer Learning
We can consider Counterfactuals as belonging in the domain of Discourse ...
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05/22/2020
A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images
In synthetic aperture radar (SAR) image change detection, it is quite ch...
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12/16/2019
PolSF: PolSAR image dataset on San Francisco
Polarimetric SAR data has the characteristics of all-weather, all-time a...
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10/13/2019
Hierarchical Feature-Aware Correlation Filter for Efficient Visual Tracking
In this paper, we propose a feature-aware correlation filter (FACF) for ...
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10/13/2019
Hierarchical Feature-Aware Tracking
In this paper, we propose a hierarchical feature-aware tracking framewor...
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07/21/2019
signADAM: Learning Confidences for Deep Neural Networks
In this paper, we propose a new first-order gradient-based algorithm to ...
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07/11/2019
A Survey of Deep Learning-based Object Detection
Object detection is one of the most important and challenging branches o...
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06/19/2019
SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance
The log-ratio (LR) operator has been widely employed to generate the dif...
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06/19/2019
Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net
Change detection is a quite challenging task due to the imbalance betwee...
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06/17/2019
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine
POLSAR image has an advantage over optical image because it can be acqui...
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06/09/2019
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification
Exploiting rich spatial and spectral features contributes to improve the...
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06/09/2019
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification
Polarimetric synthetic aperture radar (PolSAR) images are widely used in...
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05/31/2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1
The training of deep neural networks (DNNs) requires intensive resources...
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03/18/2019
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach
Existing polarimetric synthetic aperture radar (PolSAR) image classifica...
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11/29/2018
Parameter-Free Spatial Attention Network for Person Re-Identification
Global average pooling (GAP) allows to localize discriminative informati...
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10/07/2018
ASVRG: Accelerated Proximal SVRG
This paper proposes an accelerated proximal stochastic variance reduced ...
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09/05/2018
