3 accepted papers
Image editing in our daily lives often requires models to first understand user’s intention and then proceed with the editing. Despite significant advancements in image editing technology, understanding and executing complex instructions remains a substantial challenge. Existing image editing models…
Single object tracking aims to locate the target object in a video sequence according to the state specified by different modal references, including the initial bounding box (BBOX), natural language (NL), or both (NL+BBOX). Due to the gap between different modalities, most existing trackers are des…
Incremental object detection (IOD) task requires a model to learn continually from newly added data. However, directly fine-tuning a well-trained detection model on a new task will sharply decrease the performance on old tasks, which is known as catastrophic forgetting. Knowledge distillation, inclu…