Sep 20, 2016 · This recurrent model-based visual recognition pipeline is a natural choice for perceptual problems with time-varying visual input or sequential ...
Saliency-aware 3D CNN with LSTM for Video Action Recognition
www.researchgate.net › ... › Recognition
This recurrent model based visual recognition pipeline is a natural choice for perceptual problems with time-varying visual input or sequential outputs. However ...
: BEYOND FRAME-LEVEL CNN: SALIENCY-AWARE 3-D CNN WITH LSTM FOR VIDEO ACTION RECOGNITION. 511. Fig. 1. The general framework of our saliency-aware 3-D CNN with ...
Apr 1, 2017 · This paper presents a computationally efficient yet robust approach, exploiting saliency-aware spatial and temporal features for human action recognition in ...
Saliency-Aware 3-D CNN with LSTM for Video Action Recognition - Open ...
opus.lib.uts.edu.au › handle
Apr 1, 2017 · Beyond Frame-level CNN: Saliency-Aware 3-D CNN with LSTM for Video Action Recognition ; utslib.for, 0906 Electrical and Electronic Engineering ...
Sep 1, 2021 · This research work provides a novel pipeline by analyzing and processing the video information using a 3D convolution (C3D) network and newly introduced deep ...
Jul 30, 2024 · Beyond Frame-level CNN: Saliency-aware 3D CNN with LSTM for Video Action Recognition. September 2016 · Signal Processing Letters, IEEE.
Beyond frame-level CNN: saliency-aware 3-D CNN with LSTM for video action recognition. X Wang, L Gao, J Song, H Shen. IEEE signal processing letters 24 (4), 510 ...
In this paper, we proposed a novel spatial and temporal saliency based four-stream network with multi-task learning.
Jul 13, 2023 · The main aim of this paper is to evaluate and map the current scenario of human actions in red, green, and blue videos, based on deep learning models.