From image directly output text labels and coordinates of detected objects
From image directly output text labels and coordinates of detected objects
Pix2seq: A Language Modeling Framework for Object Detection
arXiv paper abstract https://arxiv.org/abs/2109.10852
arXiv PDF paper https://arxiv.org/pdf/2109.10852.pdf
... presents Pix2Seq, a simple and generic framework for object detection.
Unlike existing approaches that explicitly integrate prior knowledge about the task, we simply cast object detection as a language modeling task conditioned on the observed pixel inputs.
Object descriptions (e.g., bounding boxes and class labels) are expressed as sequences of discrete tokens, and we train a neural net to perceive the image and generate the desired sequence.
... based mainly on the intuition that if a neural net knows about where and what the objects are, we just need to teach it how to read them out.
Beyond the use of task-specific data augmentations, our approach makes minimal assumptions about the task,
yet it achieves competitive results on the challenging COCO dataset, compared to highly specialized and well optimized detection algorithms.
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