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09/16/2023
RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework
In recent years, remote sensing (RS) vision foundation models such as Ri...
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09/05/2023
DCP-Net: A Distributed Collaborative Perception Network for Remote Sensing Semantic Segmentation
Onboard intelligent processing is widely applied in emergency tasks in t...
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08/11/2023
Thinking Like an Expert:Multimodal Hypergraph-of-Thought (HoT) Reasoning to boost Foundation Modals
Reasoning ability is one of the most crucial capabilities of a foundatio...
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04/24/2023
OGMN: Occlusion-guided Multi-task Network for Object Detection in UAV Images
Occlusion between objects is one of the overlooked challenges for object...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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04/03/2023
LIGHT: Joint Individual Building Extraction and Height Estimation from Satellite Images through a Unified Multitask Learning Network
Building extraction and height estimation are two important basic tasks ...
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03/22/2023
SiamTHN: Siamese Target Highlight Network for Visual Tracking
Siamese network based trackers develop rapidly in the field of visual ob...
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02/27/2023
TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection
Multimodal hate detection, which aims to identify harmful content online...
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01/11/2023
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery
Building 3D reconstruction from remote sensing images has a wide range o...
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11/27/2022
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Few-shot object detection, expecting detectors to detect novel classes w...
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11/15/2022
Probabilistic Deep Metric Learning for Hyperspectral Image Classification
This paper proposes a probabilistic deep metric learning (PDML) framewor...
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09/14/2022
Learning to Evaluate Performance of Multi-modal Semantic Localization
Semantic localization (SeLo) refers to the task of obtaining the most re...
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07/21/2022
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification
The classification of airborne laser scanning (ALS) point clouds is a cr...
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06/01/2022
Learning Invariant Visual Representations for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize novel composit...
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04/27/2022
Span-level Bidirectional Cross-attention Framework for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is a new fine-grained sentime...
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04/21/2022
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
Remote sensing (RS) cross-modal text-image retrieval has attracted exten...
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04/21/2022
Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information
Cross-modal remote sensing text-image retrieval (RSCTIR) has recently be...
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04/11/2022
Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders
Semantic segmentation of point clouds generates comprehensive understand...
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03/09/2022
Optical Flow Training under Limited Label Budget via Active Learning
Supervised training of optical flow predictors generally yields better a...
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11/21/2021
Learning by Active Forgetting for Neural Networks
Remembering and forgetting mechanisms are two sides of the same coin in ...
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07/19/2021
Double Similarity Distillation for Semantic Image Segmentation
The balance between high accuracy and high speed has always been a chall...
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06/21/2021
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) aims to classify sub-classes o...
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04/20/2021
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction
Link Prediction, addressing the issue of completing KGs with missing fac...
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03/09/2021
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
With the rapid development of deep learning, many deep learning based ap...
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01/06/2021
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
dame-flame is a Python package for performing matching for observational...
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10/01/2020
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network
Single image super-resolution is an effective way to enhance the spatial...
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08/30/2020
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms
Evolutionary Neural Architecture Search (ENAS) can automatically design ...
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12/23/2019
Oriented Objects as pairs of Middle Lines
The detection of oriented objects is frequently appeared in the field of...
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04/22/2019
Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module
The performance of object instance segmentation in remote sensing images...
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04/04/2019
Comparison Network for One-Shot Conditional Object Detection
The current advances in object detection depend on large-scale datasets ...
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04/04/2019
A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images
Deep learning based object detection has achieved great success. However...
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01/03/2019
A Remote Sensing Image Dataset for Cloud Removal
Cloud-based overlays are often present in optical remote sensing images,...
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12/13/2018
Wider Channel Attention Network for Remote Sensing Image Super-resolution
Recently, deep convolutional neural networks (CNNs) have obtained promis...
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06/13/2018
Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multiscale Rotation Region Convolutional Neural Network
Ship detection is of great importance and full of challenges in the fiel...
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06/12/2018
Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks
Ship detection has been playing a significant role in the field of remot...
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12/28/2016