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Video Recognition

9 papers with code · Computer Vision
Subtask of Video

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Greatest papers with code

Deep Feature Flow for Video Recognition

CVPR 2017 msracver/Deep-Feature-Flow

Yet, it is non-trivial to transfer the state-of-the-art image recognition networks to videos as per-frame evaluation is too slow and unaffordable.

VIDEO RECOGNITION

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

10 Apr 2019osmr/imgclsmob

Similarly, the output feature maps of a convolution layer can also be seen as a mixture of information at different frequencies.

IMAGE CLASSIFICATION VIDEO RECOGNITION

Flow-Guided Feature Aggregation for Video Object Detection

ICCV 2017 msracver/Flow-Guided-Feature-Aggregation

The accuracy of detection suffers from degenerated object appearances in videos, e. g., motion blur, video defocus, rare poses, etc.

VIDEO OBJECT DETECTION VIDEO RECOGNITION

TSM: Temporal Shift Module for Efficient Video Understanding

20 Nov 2018MIT-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

Weight Standardization

25 Mar 2019joe-siyuan-qiao/WeightStandardization

The micro-batch training setting is hard because small batch sizes are not enough for training networks with Batch Normalization (BN), while other normalization methods that do not rely on batch knowledge still have difficulty matching the performances of BN in large-batch training.

IMAGE CLASSIFICATION INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION VIDEO RECOGNITION

Clockwork Convnets for Video Semantic Segmentation

11 Aug 2016shelhamer/clockwork-fcn

Recent years have seen tremendous progress in still-image segmentation; however the na\"ive application of these state-of-the-art algorithms to every video frame requires considerable computation and ignores the temporal continuity inherent in video.

SEMANTIC SEGMENTATION VIDEO RECOGNITION VIDEO SEMANTIC SEGMENTATION

SlowFast Networks for Video Recognition

10 Dec 2018Guocode/SlowFast-Networks

We present SlowFast networks for video recognition.

#2 best model for Action Classification on Charades (using extra training data)

ACTION CLASSIFICATION ACTION DETECTION VIDEO RECOGNITION

Sequence Level Semantics Aggregation for Video Object Detection

15 Jul 2019happywu/Sequence-Level-Semantics-Aggregation

In this work, we argue that aggregating features in the full-sequence level will lead to more discriminative and robust features for video object detection.

VIDEO OBJECT DETECTION VIDEO RECOGNITION