The ImageNet Challenge Story … outcomes
Strong supervision:
• Features from networks trained on ImageNet can be used for other visual tasks, e.g.
detection, segmentation, action recognition, fine grained visual classification
• To some extent, any visual task can be solved now by:
1. Construct a large-scale dataset labelled for that task
2. Specify a training loss and neural network architecture
3. Train the network and deploy
• Are there alternatives to strong supervision for training? Self-Supervised learning ….
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