ReMix: Training Generalized Person Re-identification on a Mixture of Data
Our WACV 2025 paper demonstrates that intelligently leveraging a mixture of heterogeneous data can significantly enhance the quality of generalized person Re-ID.
Brief overviews of key articles and research in the field of artificial intelligence. This will help you quickly refresh your knowledge and stay updated on the latest scientific research in AI.
Our WACV 2025 paper demonstrates that intelligently leveraging a mixture of heterogeneous data can significantly enhance the quality of generalized person Re-ID.
We can train the model with embeddings of different sizes without retraining.
It turns out that modern benchmarks incorrectly assess the robustness of interactive segmentation methods.
Work that will accelerate the development of text-to-video generative AI and create many problems with deepfakes.
OpenAI has made a significant step towards superintelligence, but there is still a long way to go.
Robots have learned to decide for themselves what and how to do it.