3 papers
cs.AI2026
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
MiniMax, :, Aili Chen +219
We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The…
cs.CV2024
Dynamic Object Queries for Transformer-based Incremental Object Detection
Jichuan Zhang, Wei Li, Shuang Cheng +2
Incremental object detection (IOD) aims to sequentially learn new classes, while maintaining the capability to locate and identify old ones. As the training data arrives with annot…
cs.CV2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Jichuan Zhang, Yali Li, Xin Liu +1
Non-exemplar class-incremental learning (NECIL) is to resist catastrophic forgetting without saving old class samples. Prior methodologies generally employ simple rules to generate…