Search Results for author:
Found 8 papers, 4 papers with code
Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality Settings
To address this limitation, we introduce DReSS (Decentrality Related Street-view and Satellite-view dataset), a novel dataset designed to evaluate cross-view geo-localization with a large geographic scope and diverse landscapes, emphasizing the decentrality issue.
HomoMatcher: Dense Feature Matching Results with Semi-Dense Efficiency by Homography Estimation
To address this limitation, this paper concentrates on enhancing the fine-matching module in the semi-dense matching framework.
POA: Pre-training Once for Models of All Sizes
Once pre-trained, POA allows the extraction of pre-trained models of diverse sizes for downstream tasks.
SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding
Remote Sensing Large Multi-Modal Models (RSLMMs) are developing rapidly and showcase significant capabilities in remote sensing imagery (RSI) comprehension.
Enhancing DETRs Variants through Improved Content Query and Similar Query Aggregation
The design of the query is crucial for the performance of DETR and its variants.
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
Prior studies on Remote Sensing Foundation Model (RSFM) reveal immense potential towards a generic model for Earth Observation.
Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation
In this work, we propose a novel feature enhancement network to simultaneously model short- and long-term temporal correlation.
Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer
Instead of proposing a specific vision transformer based detector, in this work, our goal is to reveal the insights of training vision transformer based detectors from scratch.
