Imagen de Portada

Learning De-Biased Representations for Remote-Sensing Imagery

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tian, Zichen, Chen, Zhaozheng, Sun, Qianru
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
por: Chen, Zhaozheng, et al.
Publicado: (2023)

Referring Change Detection in Remote Sensing Imagery
por: Korkmaz, Yilmaz, et al.
Publicado: (2025)

HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery
por: Li, Jingtao, et al.
Publicado: (2025)

Evaluating Remote Sensing Image Captions Beyond Metric Biases
por: Chen, Ziyun, et al.
Publicado: (2026)

Bridging the Scale Gap: Balanced Tiny and General Object Detection in Remote Sensing Imagery
por: Zhao, Zhicheng, et al.
Publicado: (2025)

Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering
por: Zou, Yuanhao, et al.
Publicado: (2025)

Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches
por: Lee, Gao Yu, et al.
Publicado: (2024)

Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery
por: Shen, Hengtong, et al.
Publicado: (2026)

RMK RetinaNet: Rotated Multi-Kernel RetinaNet for Robust Oriented Object Detection in Remote Sensing Imagery
por: Sun, Huiran
Publicado: (2026)

Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery
por: Zhu, Jingru, et al.
Publicado: (2024)

Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study
por: Zhu, Qinfeng, et al.
Publicado: (2024)

Building Extraction from Remote Sensing Imagery under Hazy and Low-light Conditions: Benchmark and Baseline
por: Sang, Feifei, et al.
Publicado: (2026)

SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery
por: Wang, Chenhao, et al.
Publicado: (2025)

Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery
por: Burgert, Tom, et al.
Publicado: (2026)

Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
por: Zhao, Hengwei, et al.
Publicado: (2023)

Self-supervised Audiovisual Representation Learning for Remote Sensing Data
por: Heidler, Konrad, et al.
Publicado: (2021)

CCDNet: Learning to Detect Camouflage against Distractors in Infrared Small Target Detection
por: Liao, Zikai, et al.
Publicado: (2026)

Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning
por: Sun, Jing, et al.
Publicado: (2024)

CloudMamba: An Uncertainty-Guided Dual-Scale Mamba Network for Cloud Detection in Remote Sensing Imagery
por: Yang, Jiajun, et al.
Publicado: (2026)

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
por: Guo, Xin, et al.
Publicado: (2023)

DINO Soars: DINOv3 for Open-Vocabulary Semantic Segmentation of Remote Sensing Imagery
por: Faulkenberry, Ryan, et al.
Publicado: (2026)

ProVG: Progressive Visual Grounding via Language Decoupling for Remote Sensing Imagery
por: Li, Ke, et al.
Publicado: (2026)

LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery
por: Chen, Ben, et al.
Publicado: (2023)

HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model
por: Fu, Hang, et al.
Publicado: (2024)

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?
por: Wang, Fengxiang, et al.
Publicado: (2025)

Task-Guided Multi-Annotation Triplet Learning for Remote Sensing Representations
por: Zhou, Meilun, et al.
Publicado: (2026)

ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery
por: Sun, Xian, et al.
Publicado: (2024)

IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery
por: Hoque, Oishee Bintey, et al.
Publicado: (2024)

MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery
por: Yu, Weikang, et al.
Publicado: (2024)

SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Models
por: Duc, Chuc Man, et al.
Publicado: (2025)

DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
por: Ma, Wanli, et al.
Publicado: (2023)

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
por: Yu, Zhenyu, et al.
Publicado: (2025)

ChangeDINO: DINOv3-Driven Building Change Detection in Optical Remote Sensing Imagery
por: Cheng, Ching-Heng, et al.
Publicado: (2025)

SFR-Net: Learning Scale-Frustum Representations for Ultra-Wide Area Remote Sensing Image Segmentation
por: Zhong, Chuyu, et al.
Publicado: (2026)

Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration
por: Xu, Shuang, et al.
Publicado: (2024)

Remote Sensing Imagery for Flood Detection: Exploration of Augmentation Strategies
por: Polushko, Vladyslav, et al.
Publicado: (2025)

ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation
por: Li, Chang, et al.
Publicado: (2024)

Geometric Knowledge-Assisted Federated Dual Knowledge Distillation Approach Towards Remote Sensing Satellite Imagery
por: Zou, Luyao, et al.
Publicado: (2026)

Spatial-Regularization-Aware Dual-Branch Collaborative Inference for Training-Free OVSS in Remote Sensing Imagery
por: Wang, Jianzheng, et al.
Publicado: (2026)

Exploring Diffusion Time-steps for Unsupervised Representation Learning
por: Yue, Zhongqi, et al.
Publicado: (2024)