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Self-Supervised Action Recognition

4 papers with code · Computer Vision

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Contrastive Multiview Coding

ICLR 2020 HobbitLong/CMC

We analyze key properties of the approach that make it work, finding that the contrastive loss outperforms a popular alternative based on cross-view prediction, and that the more views we learn from, the better the resulting representation captures underlying scene semantics.

CONTRASTIVE LEARNING OBJECT CLASSIFICATION SELF-SUPERVISED ACTION RECOGNITION SELF-SUPERVISED IMAGE CLASSIFICATION

Video Representation Learning by Dense Predictive Coding

10 Sep 2019TengdaHan/DPC

The objective of this paper is self-supervised learning of spatio-temporal embeddings from video, suitable for human action recognition.

 SOTA for Self-Supervised Action Recognition on UCF101 (using extra training data)

REPRESENTATION LEARNING SELF-SUPERVISED ACTION RECOGNITION SELF-SUPERVISED LEARNING TEMPORAL ACTION LOCALIZATION

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning

21 Mar 2020csiro-robotics/TCE

We evaluate our self-supervised trained TCE model by adding a classification layer and finetuning the learned representation on the downstream task of video action recognition on the UCF101 dataset.

METRIC LEARNING SELF-SUPERVISED ACTION RECOGNITION SELF-SUPERVISED LEARNING UNSUPERVISED REPRESENTATION LEARNING