Search Results for author: Ran Tao

Found 35 papers, 6 papers with code

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

3 code implementations26 Jan 2023 Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides

The critical challenge of Semi-Supervised Learning (SSL) is how to effectively leverage the limited labeled data and massive unlabeled data to improve the model's generalization performance.

imbalanced classification

Optimizing Crop Management with Reinforcement Learning and Imitation Learning

no code implementations20 Sep 2022 Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Ferreira, Zahra Kalantari, Naira Hovakimyan

Moreover, the partial-observation management policies are directly deployable in the real world as they use readily available information.

Imitation Learning Management +2

LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images

no code implementations16 Sep 2022 Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, Feiran Jie, Ran Tao

Specifically, a channel separation-aggregation (CSA) structure is designed to simplify the complexity of stacked separable convolutions, and a dynamic receptive field (DRF) mechanism is developed to maintain high accuracy by customizing the convolution kernel and its perception range dynamically when reducing the network complexity.

object-detection Object Detection

Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images

1 code implementation6 Sep 2022 Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, Ran Tao

However, the inconsistent features for the localization and classification tasks in AOOD models may lead to ambiguity and low-quality object predictions, which constrains the detection performance.

object-detection Object Detection In Aerial Images

Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification

no code implementations6 Sep 2022 Yuxiang Zhang, Mengmeng Zhang, Wei Li, Shuai Wang, Ran Tao

Text information including extensive prior knowledge about land cover classes has been ignored in hyperspectral image classification (HSI) tasks.

Contrastive Learning Domain Generalization +1

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets

no code implementations15 Aug 2022 Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

Beyond classification, Conv-Adapter can generalize to detection and segmentation tasks with more than 50% reduction of parameters but comparable performance to the traditional full fine-tuning.

Transfer Learning

MPANet: Multi-Patch Attention For Infrared Small Target object Detection

no code implementations5 Jun 2022 Ao Wang, Wei Li, Xin Wu, Zhanchao Huang, Ran Tao

To this end, a multi-patch attention network (MPANet) based on the axial-attention encoder and the multi-scale patch branch (MSPB) structure is proposed.

object-detection Object Detection

Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations

no code implementations21 Apr 2022 Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan

Nitrogen (N) management is critical to sustain soil fertility and crop production while minimizing the negative environmental impact, but is challenging to optimize.

Management reinforcement-learning +1

Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling

no code implementations7 Apr 2022 Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides

Class-agnostic bias is defined as the distribution shifting introduced by domain difference, which we propose Distribution Calibration Module(DCM) to reduce.

Few-Shot Learning

MS-HLMO: Multi-scale Histogram of Local Main Orientation for Remote Sensing Image Registration

no code implementations1 Apr 2022 Chenzhong Gao, Wei Li, Ran Tao, Qian Du

Considering the characteristics and differences of multi-source remote sensing images, a feature-based registration algorithm named Multi-scale Histogram of Local Main Orientation (MS-HLMO) is proposed.

Image Registration

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging

no code implementations28 Mar 2022 Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Jing Li, Yuwei Ge, Taishan Kang, Jianzhong Lin, Di Guo, Xiaobo Qu

Conclusion: The explicit phase model PAIR with complementary priors has a good performance on challenging reconstructions under inter-shot motions between shots and a low signal-to-noise ratio.

DeepSSN: a deep convolutional neural network to assess spatial scene similarity

1 code implementation7 Feb 2022 Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang

Spatial-query-by-sketch is an intuitive tool to explore human spatial knowledge about geographic environments and to support communication with scene database queries.

Data Augmentation Information Retrieval +1

Deep Learning for UAV-based Object Detection and Tracking: A Survey

no code implementations25 Oct 2021 Xin Wu, Wei Li, Danfeng Hong, Ran Tao, Qian Du

Owing to effective and flexible data acquisition, unmanned aerial vehicle (UAV) has recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS).

Management object-detection +2

A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection

1 code implementation27 Sep 2021 Zhanchao Huang, Wei Li, Xiang-Gen Xia, Ran Tao

Specifically, an anchor-free object-adaptation label assignment (OLA) strategy is presented to define the positive candidates based on two-dimensional (2-D) oriented Gaussian heatmaps, which reflect the shape and direction features of arbitrary-oriented objects.

object-detection Object Detection In Aerial Images

Dynamic Proximal Unrolling Network for Compressive Imaging

no code implementations23 Jul 2021 Yixiao Yang, Ran Tao, Kaixuan Wei, Ying Fu

In this paper, a dynamic proximal unrolling network (dubbed DPUNet) was proposed, which can handle a variety of measurement matrices via one single model without retraining.

Compressive Sensing

Improve Novel Class Generalization By Adaptive Feature Distribution for Few-Shot Learning

no code implementations1 Jan 2021 Ran Tao, Marios Savvides

By addressing the difference between feature distributions of base and novel classes, we propose the adaptive feature distribution method which is to finetune one scale vector using the support set of novel classes.

Few-Shot Learning

Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network

no code implementations16 Jul 2020 Xin Wu, Wei Li, Danfeng Hong, Jiaojiao Tian, Ran Tao, Qian Du

In addition, the generalization ability of Ms-AFt in dense remote sensing scenes is further verified on stereo aerial imagery of a large camping site.

Transfer Learning

Model Decay in Long-Term Tracking

no code implementations5 Aug 2019 Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders

Updating the tracker model with adverse bounding box predictions adds an unavoidable bias term to the learning.

Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

no code implementations27 May 2019 Xin Wu, Danfeng Hong, Jocelyn Chanussot, Yang Xu, Ran Tao, Yue Wang

To this end, we propose a novel and efficient framework for geospatial object detection in this letter, called Fourier-based rotation-invariant feature boosting (FRIFB).

object-detection Object Detection

Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification

no code implementations9 May 2019 Wen-Shuai Hu, Heng-Chao Li, Lei Pan, Wei Li, Ran Tao, Qian Du

Particularly, long short-term memory (LSTM), as a special deep learning structure, has shown great ability in modeling long-term dependencies in the time dimension of video or the spectral dimension of HSIs.

General Classification Hyperspectral Image Classification

ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

no code implementations23 Jan 2019 Xin Wu, Danfeng Hong, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao

To this end, we propose a novel object detection framework, called optical remote sensing imagery detector (ORSIm detector), integrating diverse channel features extraction, feature learning, fast image pyramid matching, and boosting strategy.

object-detection Object Detection

Estimating Small Differences in Car-Pose from Orbits

no code implementations3 Sep 2018 Berkay Kicanaoglu, Ran Tao, Arnold W. M. Smeulders

The generated orbit in the latent space records all the differences in pose in the original observational space, and as a result, the method is capable of finding subtle differences in pose.

Seeing Small Faces from Robust Anchor's Perspective

no code implementations CVPR 2018 Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides

This paper introduces a novel anchor design to support anchor-based face detection for superior scale-invariant performance, especially on tiny faces.

Face Detection

Tracking for Half an Hour

1 code implementation28 Nov 2017 Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders

Long-term tracking requires extreme stability to the multitude of model updates and robustness to the disappearance and loss of the target as such will inevitably happen.

Generic Instance Search and Re-identification from One Example via Attributes and Categories

no code implementations23 May 2016 Ran Tao, Arnold W. M. Smeulders, Shih-Fu Chang

Searching among instances from the same category as the query, the category-specific attributes outperform existing approaches by a large margin on shoes and cars and perform on par with the state-of-the-art on buildings.

Instance Search Person Re-Identification

Siamese Instance Search for Tracking

no code implementations CVPR 2016 Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders

In this paper we present a tracker, which is radically different from state-of-the-art trackers: we apply no model updating, no occlusion detection, no combination of trackers, no geometric matching, and still deliver state-of-the-art tracking performance, as demonstrated on the popular online tracking benchmark (OTB) and six very challenging YouTube videos.

Geometric Matching Instance Search

Attributes and Categories for Generic Instance Search From One Example

no code implementations CVPR 2015 Ran Tao, Arnold W. M. Smeulders, Shih-Fu Chang

This paper aims for generic instance search from one example where the instance can be an arbitrary 3D object like shoes, not just near-planar and one-sided instances like buildings and logos.

Instance Search

Cannot find the paper you are looking for? You can Submit a new open access paper.