Self-Supervised Video Representation Learning With Odd-One-Out Networks

We propose a new self-supervised CNN pre-training technique based on a novel auxiliary task called "odd-one-out learning". In this task, the machine is asked to identify the unrelated or odd element from a set of otherwise related elements... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Self-Supervised Action Recognition UCF101 O3N (AlexNet) 3-fold Accuracy 60.3 # 28
Pre-Training Dataset UCF101 # 1

Methods used in the Paper


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