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Action Detection

36 papers with code · Computer Vision

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A Pursuit of Temporal Accuracy in General Activity Detection

8 Mar 2017yjxiong/action-detection

Detecting activities in untrimmed videos is an important but challenging task.

ACTION DETECTION

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

ECCV 2018 wzmsltw/BSN-boundary-sensitive-network

Temporal action proposal generation is an important yet challenging problem, since temporal proposals with rich action content are indispensable for analysing real-world videos with long duration and high proportion irrelevant content.

ACTION DETECTION TEMPORAL ACTION PROPOSAL GENERATION

Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks

29 Aug 2016imatge-upc/activitynet-2016-cvprw

This thesis explore different approaches using Convolutional and Recurrent Neural Networks to classify and temporally localize activities on videos, furthermore an implementation to achieve it has been proposed.

ACTION DETECTION

Learning Latent Super-Events to Detect Multiple Activities in Videos

CVPR 2018 piergiaj/super-events-cvpr18

In this paper, we introduce the concept of learning latent super-events from activity videos, and present how it benefits activity detection in continuous videos.

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

ACTION DETECTION

SST: Single-Stream Temporal Action Proposals

CVPR 2017 shyamal-b/sst

Our paper presents a new approach for temporal detection of human actions in long, untrimmed video sequences.

ACTION DETECTION TEMPORAL ACTION PROPOSAL GENERATION

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

Actor Conditioned Attention Maps for Video Action Detection

30 Dec 2018oulutan/ACAM_Demo

While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context.

ACTION DETECTION

Temporal Tessellation: A Unified Approach for Video Analysis

ICCV 2017 dot27/temporal-tessellation

A test video is processed by forming correspondences between its clips and the clips of reference videos with known semantics, following which, reference semantics can be transferred to the test video.

ACTION DETECTION VIDEO CAPTIONING VIDEO SUMMARIZATION VIDEO UNDERSTANDING