Imagen de Portada

Treat Stillness with Movement: Remote Sensing Change Detection via Coarse-grained Temporal Foregrounds Mining

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Xixi, Wang, Zitian, Jiang, Jingtao, Chen, Lan, Wang, Xiao, Jiang, Bo
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SAM Guided Semantic and Motion Changed Region Mining for Remote Sensing Change Captioning
por: Wang, Futian, et al.
Publicado: (2025)

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

FoBa: A Foreground-Background co-Guided Method and New Benchmark for Remote Sensing Semantic Change Detection
por: Zhang, Haotian, et al.
Publicado: (2025)

Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
por: Zhu, Sa, et al.
Publicado: (2026)

Remote Sensing Change Detection via Weak Temporal Supervision
por: Bou, Xavier, et al.
Publicado: (2026)

Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter
por: Jiang, Bo, et al.
Publicado: (2025)

An Integrated Neighborhood and Scale Information Network for Open-Pit Mine Change Detection in High-Resolution Remote Sensing Images
por: Xie, Zilin, et al.
Publicado: (2024)

Bridging Supervision Gaps: A Unified Framework for Remote Sensing Change Detection
por: Jiang, Kaixuan, et al.
Publicado: (2026)

Graph Aggregation Prototype Learning for Semantic Change Detection in Remote Sensing
por: Xu, Zhengyi, et al.
Publicado: (2025)

Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection
por: Du, Qiangang, et al.
Publicado: (2024)

Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection
por: Zheng, Zhuo, et al.
Publicado: (2024)

RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model
por: Wang, Mingze, et al.
Publicado: (2024)

Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization
por: Zhao, Yumiao, et al.
Publicado: (2026)

Generalization-aware Remote Sensing Change Detection via Domain-agnostic Learning
por: Zang, Qi, et al.
Publicado: (2025)

ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing
por: Wang, Yuduo, et al.
Publicado: (2024)

Bi-temporal Gaussian Feature Dependency Guided Change Detection in Remote Sensing Images
por: Xiao, Yi, et al.
Publicado: (2024)

PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection
por: Dong, Sijun, et al.
Publicado: (2025)

TaCo: Capturing Spatio-Temporal Semantic Consistency in Remote Sensing Change Detection
por: Guo, Han, 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)

SCL: Towards Domain Generalization via Single-Temporal Multimodal Contrastive Learning for Remote Sensing Change Detection
por: Du, Qiangang, et al.
Publicado: (2024)

Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images
por: Ding, Lei, et al.
Publicado: (2022)

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

FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection
por: Jiang, Zheng, et al.
Publicado: (2024)

DescribeEarth: Describe Anything for Remote Sensing Images
por: Li, Kaiyu, et al.
Publicado: (2025)

Exchange Is All You Need for Remote Sensing Change Detection
por: Dong, Sijun, et al.
Publicado: (2026)

Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images
por: Chen, Jingzhou, et al.
Publicado: (2025)

Token Merging via Spatiotemporal Information Mining for Surgical Video Understanding
por: Jiang, Xixi, et al.
Publicado: (2025)

STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection
por: Ma, Xiaowen, et al.
Publicado: (2024)

Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection
por: Li, Ke, et al.
Publicado: (2024)

Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching
por: Zhang, Boxuan, et al.
Publicado: (2024)

LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
por: Jiang, Wentao, et al.
Publicado: (2024)

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

A Spatial Semantics and Continuity Perception Attention for Remote Sensing Water Body Change Detection
por: Ma, Quanqing, et al.
Publicado: (2025)

TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation
por: Wang, Tianyang, et al.
Publicado: (2025)

RemoteVAR: Autoregressive Visual Modeling for Remote Sensing Change Detection
por: Korkmaz, Yilmaz, et al.
Publicado: (2026)

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining
por: Sun, Yong, et al.
Publicado: (2025)

ViLaCD-R1: A Vision-Language Framework for Semantic Change Detection in Remote Sensing
por: Ma, Xingwei, et al.
Publicado: (2025)

Real-Time Oriented Object Detection Transformer in Remote Sensing Images
por: Ding, Zeyu, et al.
Publicado: (2026)

EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing
por: Jiang, Hongxiang, et al.
Publicado: (2025)

Coarse-Guided Visual Generation via Weighted h-Transform Sampling
por: Wang, Yanghao, et al.
Publicado: (2026)