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Found 4 papers, 3 papers with code
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results
The scheme, named USI (Unified Scheme for ImageNet), is based on knowledge distillation and modern tricks.
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing
Such direct methods may be limited in transferring high-order dependencies embedded in the representation vectors, or in handling the capacity gap between the teacher and student models.
Ranked #1 on
Face Verification
on IJB-C
TResNet: High Performance GPU-Dedicated Architecture
In this work, we introduce a series of architecture modifications that aim to boost neural networks' accuracy, while retaining their GPU training and inference efficiency.
Ranked #7 on
Fine-Grained Image Classification
on Oxford 102 Flowers
(using extra training data)
Compact Network Training for Person ReID
Furthermore, we show the representation power of our ReID network via SotA results on a different task of multi-object tracking.
Ranked #16 on
Person Re-Identification
on Market-1501
(Rank-1 metric)
