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01/26/2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
The critical challenge of Semi-Supervised Learning (SSL) is how to effec...
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10/20/2022
Physics-informed deep diffusion MRI reconstruction: break the bottleneck of training data in artificial intelligence
In this work, we propose a Physics-Informed Deep Diffusion magnetic reso...
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09/20/2022
Optimizing Crop Management with Reinforcement Learning and Imitation Learning
Crop management, including nitrogen (N) fertilization and irrigation man...
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09/16/2022
LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images
A few lightweight convolutional neural network (CNN) models have been re...
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09/06/2022
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification
Text information including extensive prior knowledge about land cover cl...
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09/06/2022
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images
Arbitrary-oriented object detection (AOOD) has been widely applied to lo...
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09/04/2022
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification
Currently, cross-scene hyperspectral image (HSI) classification has draw...
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08/15/2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
While parameter efficient tuning (PET) methods have shown great potentia...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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06/05/2022
MPANet: Multi-Patch Attention For Infrared Small Target object Detection
Infrared small target detection (ISTD) has attracted widespread attentio...
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05/04/2022
Separations in Proof Complexity and TFNP
It is well-known that Resolution proofs can be efficiently simulated by ...
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05/03/2022
Three-phase generalized raking and multiple imputation estimators to address error-prone data
Validation studies are often used to obtain more reliable information in...
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04/21/2022
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations
Nitrogen (N) management is critical to sustain soil fertility and crop p...
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04/07/2022
Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes
In recent works, utilizing a deep network trained on meta-training set s...
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04/01/2022
MS-HLMO: Multi-scale Histogram of Local Main Orientation for Remote Sensing Image Registration
Multi-source image registration is challenging due to intensity, rotatio...
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02/15/2022
Further Collapses in TFNP
We show =∩. Here the class consists of all total search problems that r...
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02/07/2022
DeepSSN: a deep convolutional neural network to assess spatial scene similarity
Spatial-query-by-sketch is an intuitive tool to explore human spatial kn...
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09/27/2021
A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection
Recently, many arbitrary-oriented object detection (AOOD) methods have b...
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08/30/2021
Optimal Multi-Wave Validation of Secondary Use Data with Outcome and Exposure Misclassification
The growing availability of observational databases like electronic heal...
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07/23/2021
Dynamic Proximal Unrolling Network for Compressive Sensing Imaging
Recovering an underlying image from under-sampled measurements, Compress...
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06/13/2021
Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network
The monitoring of coastal wetlands is of great importance to the protect...
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03/30/2021
Unsupervised Disentanglement of Linear-Encoded Facial Semantics
We propose a method to disentangle linear-encoded facial semantics from ...
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08/29/2020
A construction of minimal linear codes from partial difference sets
In this paper, we study a class of linear codes defined by characteristi...
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07/16/2020
Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network
Vehicle detection in remote sensing images has attracted increasing inte...
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08/05/2019
Model Decay in Long-Term Tracking
Updating the tracker model with adverse bounding box predictions adds an...
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05/27/2019
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection
Geospatial object detection of remote sensing imagery has been attractin...
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05/09/2019
Feature Extraction and Classification Based on Spatial-Spectral ConvLSTM Neural Network for Hyperspectral Images
In recent years, deep learning has presented a great advance in hyperspe...
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01/23/2019
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features
With the rapid development of spaceborne imaging techniques, object dete...
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09/03/2018
Estimating Small Differences in Car-Pose from Orbits
Distinction among nearby poses and among symmetries of an object is chal...
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03/26/2018
Long-term Tracking in the Wild: A Benchmark
We introduce a new video dataset and benchmark to assess single-object t...
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02/25/2018
Seeing Small Faces from Robust Anchor's Perspective
This paper introduces a novel anchor design to support anchor-based face...
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11/28/2017
Tracking for Half an Hour
Long-term tracking requires extreme stability to the multitude of model ...
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05/23/2016
Generic Instance Search and Re-identification from One Example via Attributes and Categories
This paper aims for generic instance search from one example where the i...
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04/04/2011