更换文档检测模型

paddle_detection/configs/queryinst/README.md

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+# QueryInst: Instances as Queries
+
+## Introduction
+
+QueryInst is a multi-stage end-to-end system that treats instances of interest as learnable queries, enabling query
+based object detectors, e.g., Sparse R-CNN, to have strong instance segmentation performance. The attributes of
+instances such as categories, bounding boxes, instance masks, and instance association embeddings are represented by
+queries in a unified manner. In QueryInst, a query is shared by both detection and segmentation via dynamic convolutions
+and driven by parallelly-supervised multi-stage learning.
+
+## Model Zoo
+
+|   Backbone   | Lr schd | Proposals | MultiScale | RandomCrop | bbox AP | mask AP | Download                                                                                             | Config                                                   |
+|:------------:|:-------:|:---------:|:----------:|:----------:|:-------:|:-------:|------------------------------------------------------------------------------------------------------|----------------------------------------------------------|
+| ResNet50-FPN |   1x    |    100    |     ×      |     ×      |  42.1   |  37.8   | [model](https://bj.bcebos.com/v1/paddledet/models/queryinst_r50_fpn_1x_pro100_coco.pdparams)         | [config](./queryinst_r50_fpn_1x_pro100_coco.yml)         |
+| ResNet50-FPN |   3x    |    300    |     √      |     √      |  47.9   |  42.1   | [model](https://bj.bcebos.com/v1/paddledet/models/queryinst_r50_fpn_ms_crop_3x_pro300_coco.pdparams) | [config](./queryinst_r50_fpn_ms_crop_3x_pro300_coco.yml) |
+
+- COCO val-set evaluation results.
+- These configurations are for 4-card training.
+
+Please modify these parameters as appropriate:
+
+```yaml
+worker_num: 4
+TrainReader:
+  use_shared_memory: true
+find_unused_parameters: true
+```
+
+## Citations
+
+```
+@InProceedings{Fang_2021_ICCV,
+    author    = {Fang, Yuxin and Yang, Shusheng and Wang, Xinggang and Li, Yu and Fang, Chen and Shan, Ying and Feng, Bin and Liu, Wenyu},
+    title     = {Instances As Queries},
+    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
+    month     = {October},
+    year      = {2021},
+    pages     = {6910-6919}
+}
+```