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Abstract: Tiny object detection in the field of remote sensing has always been a challenging and interesting topic. Despite many researchers working on this problem, it has not been well-solved due to ...

Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...

Recent Multimodal Large Language Models (MLLMs) are remarkable in vision-language tasks, such as image captioning and question answering, but lack the essential perception ability, i.e., object ...