Video Understanding
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Greatest papers with code
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
CVPR 2018
• tensorflow/models
• 
The AVA dataset densely annotates 80 atomic visual actions in 430 15-minute video clips, where actions are localized in space and time, resulting in 1. 58M action labels with multiple labels per person occurring frequently.
ACTION LOCALIZATION VIDEO UNDERSTANDING ZERO-SHOT ACTION RECOGNITION
Detect-and-Track: Efficient Pose Estimation in Videos
CVPR 2018 • facebookresearch/DetectAndTrack
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.
#4 best model for
Pose Tracking
on PoseTrack2017
(using extra training data)
HUMAN DETECTION MULTI-OBJECT TRACKING POSE ESTIMATION POSE TRACKING VIDEO UNDERSTANDING
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition
• jeffreyhuang1/two-stream-action-recognition
We demonstrate that using both RNNs (using LSTMs) and Temporal-ConvNets on spatiotemporal feature matrices are able to exploit spatiotemporal dynamics to improve the overall performance.
ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS VIDEO UNDERSTANDING
TSM: Temporal Shift Module for Efficient Video Understanding
• MIT-HAN-LAB/temporal-shift-module
• 
The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost.
VIDEO OBJECT DETECTION VIDEO RECOGNITION VIDEO UNDERSTANDING
Learnable pooling with Context Gating for video classification
• antoine77340/Youtube-8M-WILLOW
•
In particular, we evaluate our method on the large-scale multi-modal Youtube-8M v2 dataset and outperform all other methods in the Youtube 8M Large-Scale Video Understanding challenge.
ECO: Efficient Convolutional Network for Online Video Understanding
ECCV 2018
• mzolfaghari/ECO-efficient-video-understanding
•
In this paper, we introduce a network architecture that takes long-term content into account and enables fast per-video processing at the same time.
#12 best model for
Action Recognition In Videos
on Something-Something V1
(using extra training data)
ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS VIDEO CAPTIONING VIDEO RETRIEVAL VIDEO UNDERSTANDING
End-to-End Learning of Motion Representation for Video Understanding
Despite the recent success of end-to-end learned representations, hand-crafted optical flow features are still widely used in video analysis tasks.
ACTION RECOGNITION IN VIDEOS OPTICAL FLOW ESTIMATION VIDEO UNDERSTANDING
Long-Term Feature Banks for Detailed Video Understanding
CVPR 2019 • facebookresearch/video-long-term-feature-banks
To understand the world, we humans constantly need to relate the present to the past, and put events in context.
#3 best model for
Action Classification
on Charades
(using extra training data)
ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS VIDEO UNDERSTANDING
The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge
This article describes the final solution of team monkeytyping, who finished in second place in the YouTube-8M video understanding challenge.
Representation Flow for Action Recognition
CVPR 2019
• piergiaj/representation-flow-cvpr19
•
Our representation flow layer is a fully-differentiable layer designed to capture the `flow' of any representation channel within a convolutional neural network for action recognition.
#2 best model for
Action Classification
on HMDB51
(using extra training data)
ACTION CLASSIFICATION ACTIVITY RECOGNITION ACTIVITY RECOGNITION IN VIDEOS OPTICAL FLOW ESTIMATION VIDEO CLASSIFICATION VIDEO UNDERSTANDING