Shuffle and Learn: Unsupervised Learning using Temporal Order Verification

28 Mar 2016Ishan MisraC. Lawrence ZitnickMartial Hebert

In this paper, we present an approach for learning a visual representation from the raw spatiotemporal signals in videos. Our representation is learned without supervision from semantic labels... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Self-Supervised Action Recognition UCF101 Shuffle and Learn (AlexNet) 3-fold Accuracy 50.9 # 15