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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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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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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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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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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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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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07/18/2020
Deep Learning Based Brain Tumor Segmentation: A Survey
Brain tumor segmentation is a challenging problem in medical image analy...
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01/15/2020
OpenHI2 – Open source histopathological image platform
Transition from conventional to digital pathology requires a new categor...
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01/14/2020
Effects of annotation granularity in deep learning models for histopathological images
Pathological is crucial to cancer diagnosis. Usually, Pathologists draw ...
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06/06/2019
