IEEE

Cross-Modal Prealigned Method With Global and Local Information for Remote Sensing Image and Text Retrieval

Abstract: In recent years, remote sensing cross-modal text-image retrieval (RSCTIR) has attracted considerable attention owing to its convenience and information mining capabilities. However, two ...
IEEE

ICSF: Integrating Inter-Modal and Cross-Modal Learning Framework for Self-Supervised Heterogeneous Change Detection

Abstract: Heterogeneous change detection (HCD) is a process to determine the change information by analyzing heterogeneous images of the same geographic location taken at different times, which plays ...
GitHub

Ola: Pushing the Frontiers of Omni-Modal Language Model

🔥[28/2/2025] We release the intermediate model, Ola-Image and Ola-Video, try building your own omni-modal models! 🚀[19/2/2025] We release the huggingface demo of Ola, try the advanced omni-modal ...
GitHub

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate (ICCV 2025)

If you just want to use MIR as the pre-training indicator of your own model, no additional environment is required. python mir.py --model_path PATH/TO/MODEL --base_llm PATH/TO/LLM --text_data_path ...