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Action Detection

48 papers with code · Computer Vision

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BMN: Boundary-Matching Network for Temporal Action Proposal Generation

ICCV 2019 PaddlePaddle/models

To address these difficulties, we introduce the Boundary-Matching (BM) mechanism to evaluate confidence scores of densely distributed proposals, which denote a proposal as a matching pair of starting and ending boundaries and combine all densely distributed BM pairs into the BM confidence map.

ACTION DETECTION TEMPORAL ACTION PROPOSAL GENERATION

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

ECCV 2018 PaddlePaddle/models

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

Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding

1 Nov 2019metalbubble/moments_models

An event happening in the world is often made of different activities and actions that can unfold simultaneously or sequentially within a few seconds.

ACTION DETECTION MULTI-LABEL LEARNING VIDEO UNDERSTANDING

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 ACTIVITY DETECTION

STEP: Spatio-Temporal Progressive Learning for Video Action Detection

CVPR 2019 NVlabs/STEP

In this paper, we propose Spatio-TEmporal Progressive (STEP) action detector---a progressive learning framework for spatio-temporal action detection in videos.

ACTION DETECTION ACTION RECOGNITION IN VIDEOS

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 ACTIVITY 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