Comments (1)
coallaoh
commented on June 4, 2024
It is relatively simple to modify the code for MaxBoxAcc to compute the top-1 localization. MaxBoxAcc determines the correctness of the box (with a given iou threshold) for each image. We can modify the determination of correctness by additionally taking the classification correctness into account. Then we have the top-1 localization accuracy.
It is not as simple for the PxAP metric since the metric is computed pixel-wise, rather than image-wise.
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Related Issues (20)
- ImagenetV2 has a lot of incorrect Bbox annotation information? HOT 4
- logic problem HOT 3
- Data split for FSL HOT 2
- About ImageNetV2 file name HOT 7
- About FSL baseline HOT 2
- Dataset Structure HOT 2
- Cropping and Resizing HOT 2
- optimal oracle value HOT 1
- Interpretation of the result HOT 3
- FSL baseline HOT 1
- openimages pxap perf changed between maxboxacc and maxboxaccv2. why? HOT 2
- Inconsistent annotations between metadata and source data in CUB test? HOT 1
- slow cv2.findContours HOT 3
- Sequence of normalization and resize of CAM? HOT 1
- The results in the table are inconsistent with the paper
- Results of OpenImage30K
- Pretrained Models
- Inception v3 different than Pytorch implementation
- consult training hyperparameters HOT 4
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