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.
Our WACV 2025 paper demonstrates that intelligently leveraging a mixture of heterogeneous data can significantly enhance the quality of generalized person Re-ID.
Nvidia has created chips for the new "Generative AI Era".
Apple breaks into the artificial intelligence race, but risks being left behind.
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.