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cydiachen avatar cydiachen commented on August 29, 2024 2

i tried this but i want to utilisé detected information for further process that’s why i need self attention thing from where i can use response map correctly. because my goal is to fuse two images information to get one.

To the best of my knowledge, you can try the following approaches to boost the performance of existing detectors.

  1. Strong backbone;
  2. Modify the FPN in the network to ensure extreme small objects can be detected.
  3. Stronger data augmentation method (e,g. grid mask and so on).

You can also alter the network structures to add attention mechanisms.

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hhaAndroid avatar hhaAndroid commented on August 29, 2024 1

@noreenanwar For dense object detection you can try mmdet's crowddet.

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noreenanwar avatar noreenanwar commented on August 29, 2024

The thing is that I want to use detected object attention maps as I am just interested for detected instance

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matrixgame2018 avatar matrixgame2018 commented on August 29, 2024

The thing is that I want to use detected object attention maps as I am just interested for detected instance

I think you can try demo/featmap_vis_demo.py which provides cam map about the detection object.

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noreenanwar avatar noreenanwar commented on August 29, 2024

i tried this but i want to utilisé detected information for further process that’s why i need self attention thing from where i can use response map correctly. because my goal is to fuse two images information to get one.

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