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Found 4 papers, 2 papers with code
Feature-Suppressed Contrast for Self-Supervised Food Pre-training
As the similar contents of the two views are salient or highly responsive in the feature map, the proposed FeaSC uses a response-aware scheme to localize salient features in an unsupervised manner.
Learn More for Food Recognition via Progressive Self-Distillation
The training of PSD simultaneously contains multiple self-distillations, in which a teacher network and a student network share the same embedding network.
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough
Limited by the definition of AP, such methods consider both negative and positive instances ranking before each positive instance.
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Vehicle Re-Identification
on VehicleID Large
Dataset Bias in Few-shot Image Recognition
Second, we investigate performance differences on different datasets from dataset structures and different few-shot learning methods.
