Key Notes
- Physical stores are becoming digital
- Products more easily searcheable
- Better experiences at stores
- Minimize loss of sales
Use cases
- Product Detection Challenges
- Pricing challenges based on data
RetailVisionWorkshop2021 Pricing Challenge - Ehud Barnea
Key Notes
- Price from bounding boxes
- Remove promotion content and read price content
- Country differences
- Winning Solution
Dataset Features
RetailVisionWorkshop2021 - Gang Hua
- 360 degree camera to scan everything in store
- 3D construction of motion structure reconstruction
- Shelf detections in 360 cameras
- Identify Shelf level information
- Optimal robot position to capture shelf images
- Create Digital twin duplicate product
- Assortment planning for online vs offline
06 RetailVisionWorkshop2021 - Sean Bell
Detection, Features, Character Embedding
- Large scale embedding for product recognition
Loss Functions
- Anchor image
- Distances corresponding to same product
- Same vs Different products
- ArcFace Loss
- Every product has centres
- Compare anchors and centres
Combination of Vision + Word Embedding for product categorization
GeM Pooling
- Feature map at top of Network
- Average over spatial dimensions
Product Recognition
07 RetailVisionWorkshop2021 - Aviv Eisenschtat
- Dynamic Shelf Reality
- New Visual designs of products
- Combination of techniques
- Similar products
- Product Category
- Clustering for similar images
Keep Collecting Ideas!!!!
Keep Learning!!!
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