Interesting paper and discussions link
Session #1 - AI for Retail Problems
- AI in retail
- Same product with variations
- Leverage a combination of techniques
- Approach to learn
Session - #2 - Vision for Fashion
- Customizing existing designs to make it better
- Fashion++ alter the design
- Training based on
- Classifier for fashion estimation
- Suggesting changes
Paper - C O M P U T E R V I S I O N A N D D E E P L E A R N I N G F O R R E TA I L S T O R E
- Automatic recognition of items on store shelves and obtaining a reliable 3D reconstruction of an environment for navigation purpose
- Planogram - This arrangement is carefully planned to maximize sales and keep customers happy, currently, however, verifying compliance of real shelves
- Planogram as a grid-like fully connected graph
- Planogram compliance issue related to the checked node is reported (i.e., missing/misplaced item).
- Camera would locally run only model relevant for the Aisle
- Given a shelf image, we perform first a class-agnostic object detection to extract region proposals enclosing the individual product items
- we propose to deploy an image-to-image translation GAN together with the embedding CNN and to optimize the whole architecture end-to-end
More Reads
- A Solution for Product Detection in Densely Packed Scenes
- WORKING WITH SCALE: 2ND PLACE SOLUTION TO PRODUCT DETECTION IN DENSELY PACKED SCENES
- 3D Person Tracking in Retail Stores
Keep Exploring!!!
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