A differentiable fuzzy logic module called DKU discovers implicit concepts from image classification supervision and applies logical adjustments to improve class probabilities on PASCAL-VOC, COCO, and MedMNIST.
Swin transformer v2: Scaling up capacity and resolution
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The paper reformulates absolute pose regression as regressing disentangled world-coordinate raymaps and pointmaps from images, then recovering pose via a differentiable solver, claiming SOTA results on 7-Scenes and Cambridge Landmarks.
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Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition
A differentiable fuzzy logic module called DKU discovers implicit concepts from image classification supervision and applies logical adjustments to improve class probabilities on PASCAL-VOC, COCO, and MedMNIST.
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GRLoc: Geometric Representation Regression for Visual Localization
The paper reformulates absolute pose regression as regressing disentangled world-coordinate raymaps and pointmaps from images, then recovering pose via a differentiable solver, claiming SOTA results on 7-Scenes and Cambridge Landmarks.