Update README.md

README.md

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 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/detect-every-thing-with-few-examples/open-vocabulary-object-detection-on-lvis-v1-0)](https://paperswithcode.com/sota/open-vocabulary-object-detection-on-lvis-v1-0?p=detect-every-thing-with-few-examples) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/detect-every-thing-with-few-examples/open-vocabulary-object-detection-on-mscoco)](https://paperswithcode.com/sota/open-vocabulary-object-detection-on-mscoco?p=detect-every-thing-with-few-examples)  [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/detect-every-thing-with-few-examples/few-shot-object-detection-on-ms-coco-10-shot)](https://paperswithcode.com/sota/few-shot-object-detection-on-ms-coco-10-shot?p=detect-every-thing-with-few-examples)  [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/detect-every-thing-with-few-examples/few-shot-object-detection-on-ms-coco-30-shot)](https://paperswithcode.com/sota/few-shot-object-detection-on-ms-coco-30-shot?p=detect-every-thing-with-few-examples)   [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/detect-every-thing-with-few-examples/one-shot-object-detection-on-coco)](https://paperswithcode.com/sota/one-shot-object-detection-on-coco?p=detect-every-thing-with-few-examples)
 
 
-![](images/pipeline.jpg)
+> Update: This paper is resubmitted from ICLR2024 to another conference. I improved this work's presentation in the new draft and simplified the implementation. I will update the code later. 
+
 
 We present DE-ViT, an open-set object detector in this repository.
 In contrast to the popular open-vocabulary approach, we follow the few-shot formulation to represent each category with few support images rather than language. Our results shows potential for using images as category representation.