Vocal Bursts Intensity Prediction

758 papers with code • 1 benchmarks • 1 datasets

predict the intensity of 10 categorical emotions

Libraries

Use these libraries to find Vocal Bursts Intensity Prediction models and implementations

Datasets


Most implemented papers

High Quality Monocular Depth Estimation via Transfer Learning

ialhashim/DenseDepth 31 Dec 2018

Accurate depth estimation from images is a fundamental task in many applications including scene understanding and reconstruction.

Deep High-Resolution Representation Learning for Visual Recognition

open-mmlab/mmdetection 20 Aug 2019

High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection.

Deep High-Resolution Representation Learning for Human Pose Estimation

leoxiaobin/deep-high-resolution-net.pytorch CVPR 2019

We start from a high-resolution subnetwork as the first stage, gradually add high-to-low resolution subnetworks one by one to form more stages, and connect the mutli-resolution subnetworks in parallel.

High-Resolution Representations for Labeling Pixels and Regions

leoxiaobin/deep-high-resolution-net.pytorch 9 Apr 2019

The proposed approach achieves superior results to existing single-model networks on COCO object detection.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

ajbrock/BigGAN-PyTorch ICLR 2019

Despite recent progress in generative image modeling, successfully generating high-resolution, diverse samples from complex datasets such as ImageNet remains an elusive goal.

High-Resolution Image Synthesis with Latent Diffusion Models

compvis/stable-diffusion CVPR 2022

By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond.

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

NVIDIA/pix2pixHD CVPR 2018

We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).

High-Performance Large-Scale Image Recognition Without Normalization

deepmind/deepmind-research 11 Feb 2021

Batch normalization is a key component of most image classification models, but it has many undesirable properties stemming from its dependence on the batch size and interactions between examples.

High-Dimensional Continuous Control Using Generalized Advantage Estimation

labmlai/annotated_deep_learning_paper_implementations 8 Jun 2015

Policy gradient methods are an appealing approach in reinforcement learning because they directly optimize the cumulative reward and can straightforwardly be used with nonlinear function approximators such as neural networks.

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

hszhao/ICNet ECCV 2018

We focus on the challenging task of real-time semantic segmentation in this paper.