Note: This model has been trained for approximately 2.7M steps (batch size = 1) and is still in the training process. I have attached a .ipynb file in the repository. You can refer to it to know how ...

Abstract: We propose Integrated Gradients and Object Detector Activation Maps (IG-ODAM), a novel model that integrates the strengths of ODAM and Integrated Gradients to enhance the interpretability of ...

Abstract: This study presents TET-Count, a novel category-agnostic model for object counting from natural language prompts, addressing limitations in existing methods requiring extensive annotated ...