Papers › Video Representation Learning by Dense Predictive Coding

Video Representation Learning by Dense Predictive Coding

10 Sep 2019arXiv:1909.04656archive 2025-07-28

Tengda Han, Weidi Xie, Andrew Zisserman

The objective of this paper is self-supervised learning of spatio-temporal embeddings from video, suitable for human action recognition. We make three contributions: First, we introduce the Dense Predictive Coding (DPC) framework for self-supervised representation learning on videos. This learns a dense encoding of spatio-temporal blocks by recurrently predicting future representations; Second, we propose a curriculum training scheme to predict further into the future with progressively less temporal context. This encourages the model to only encode slowly varying spatial-temporal signals, therefore leading to semantic representations; Third, we evaluate the approach by first training the DPC model on the Kinetics-400 dataset with self-supervised learning, and then finetuning the representation on a downstream task, i.e. action recognition. With single stream (RGB only), DPC pretrained representations achieve state-of-the-art self-supervised performance on both UCF101(75.7% top1 acc) and HMDB51(35.7% top1 acc), outperforming all previous learning methods by a significant margin, and approaching the performance of a baseline pre-trained on ImageNet.

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downsample_basic_block TengdaHan/DPC/backbone/resnet_2d3d.py official repository ran · our draft was wrong MIT (permissive) · 43c0211ff8dbca5f · report
calc_accuracy TengdaHan/DPC/utils/utils.py official repository unverified MIT (permissive) · d09bfd0a1223d58a · report
calc_accuracy_binary TengdaHan/DPC/utils/utils.py official repository unverified MIT (permissive) · 029de83819712727 · report
calc_topk_accuracy TengdaHan/DPC/utils/utils.py official repository unverified MIT (permissive) · f5106fc277f13ca4 · report
check_exists TengdaHan/DPC/process_data/src/write_csv.py official repository unverified MIT (permissive) · 798674d07b9de57d · report
conv1x3x3 TengdaHan/DPC/backbone/resnet_2d3d.py official repository unverified MIT (permissive) · 931634839b156bde · report
conv3x3x3 TengdaHan/DPC/backbone/resnet_2d3d.py official repository unverified MIT (permissive) · 87ddd63faa8e7182 · report
get_split TengdaHan/DPC/process_data/src/write_csv.py official repository unverified MIT (permissive) · 488a3f6281af3479 · report
pil_loader TengdaHan/DPC/dpc/dataset_3d.py official repository unverified MIT (permissive) · 205d65f49e6394e0 · report
resize_dim TengdaHan/DPC/process_data/src/extract_frame.py official repository unverified MIT (permissive) · e164a1c87d234774 · report
select_resnet TengdaHan/DPC/backbone/select_backbone.py official repository unverified MIT (permissive) · 4be1c52b2de00852 · report

Tasks

Action RecognitionRepresentation LearningSelf-Supervised Action RecognitionSelf-Supervised Action Recognition LinearSelf-Supervised LearningTemporal Action Localization

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Self-Supervised Action Recognition HMDB51 DPC (Modified 3D Resnet-34) Frozen false #39 of 48 Archive leaderboard report
Self-Supervised Action Recognition HMDB51 DPC (Modified 3D Resnet-34) Pre-Training Dataset Kinetics400 #39 of 48 Archive leaderboard report
Self-Supervised Action Recognition HMDB51 DPC (Modified 3D Resnet-34) Top-1 Accuracy 35.7 #39 of 48 Archive leaderboard report
Self-Supervised Action Recognition HMDB51 DPC (Modified 3D ResNet-18) Frozen false #40 of 48 Archive leaderboard report
Self-Supervised Action Recognition HMDB51 DPC (Modified 3D ResNet-18) Pre-Training Dataset Kinetics400 #40 of 48 Archive leaderboard report
Self-Supervised Action Recognition HMDB51 DPC (Modified 3D ResNet-18) Top-1 Accuracy 34.5 #40 of 48 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (Modified 3D Resnet-34) 3-fold Accuracy 75.7 #33 of 53 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (Modified 3D Resnet-34) Frozen false #33 of 53 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (Modified 3D Resnet-34) Pre-Training Dataset Kinetics400 #33 of 53 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (3D ResNet-18) 3-fold Accuracy 68.2 #39 of 53 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (3D ResNet-18) Frozen false #39 of 53 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (3D ResNet-18) Pre-Training Dataset Kinetics400 #39 of 53 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (3D ResNet-18, Split 1) 3-fold Accuracy 60.6 #46 of 53 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (3D ResNet-18, Split 1) Frozen false #46 of 53 Archive leaderboard report
Self-Supervised Action Recognition UCF101 DPC (3D ResNet-18, Split 1) Pre-Training Dataset UCF101 #46 of 53 Archive leaderboard report

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Methods

1x1 ConvolutionAverage PoolingBatch NormalizationBottleneck Residual BlockConvolutionGlobal Average PoolingKaiming InitializationMax PoolingReLUResidual BlockResidual Connection

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