Papers with Code 아카이브

Vocal Bursts Intensity Prediction

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하위 태스크: 0
평가표: 1
보존된 평가 기록: 2

predict the intensity of 10 categorical emotions

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/chhshen/fasthash

공식 코드

Fast Supervised Hashing with Decision Trees for High-Dimensional Data

https://bitbucket.org/uwtppml/idash2019

공식 코드

High Performance Logistic Regression for Privacy-Preserving Genome Analysis

https://bitbucket.org/wtstephe/sparse_appx_cv

공식 코드

Approximate Cross-Validation in High Dimensions with Guarantees

https://git.skewed.de/count0/graph-tool

공식 코드

Hierarchical Block Structures and High-resolution Model Selection in Large Networks

https://github.com/1Konny/idgan

공식 코드

High-Fidelity Synthesis with Disentangled Representation

https://github.com/1adrianb/expert-binary-networks

공식 코드

High-Capacity Expert Binary Networks

https://github.com/601175936/homi

공식 코드

Multi-label Classification with High-rank and High-order Label Correlations

https://github.com/AMICI-dev/AMICI

공식 코드

AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models

https://github.com/ANTsX/ANTsR

공식 코드

Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data

https://github.com/Atlas200dk/sample-imageinpainting-HiFill

공식 코드

Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting

https://github.com/BIDData/BIDMach

공식 코드

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation

https://github.com/BUGPLEASEOUT/LasHeR

공식 코드

LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking

https://github.com/BUTSpeechFIT/BrnoLM

공식 코드

Text Augmentation for Language Models in High Error Recognition Scenario

https://github.com/BaratiLab/Diffusion-based-Fluid-Super-resolution

공식 코드

A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction

https://github.com/BoyanJIANG/LoRD

공식 코드

LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling

https://github.com/CEA-LIST/AD-RobustnessEval

공식 코드

Evaluating Robustness over High Level Driving Instruction for Autonomous Driving

https://github.com/CIFASIS/exploiting-gan-internal-capacity

공식 코드

Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images

https://github.com/CVMI-Lab/UHDM

공식 코드

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

https://github.com/CaiShilv/HiFi-VRIC

공식 코드

High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation

https://github.com/ChenhongyiYang/QueryDet-PyTorch

공식 코드

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

https://github.com/Circuitscape/Circuitscape.jl

공식 코드

Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions

https://github.com/Cold-Winter/BachGAN

공식 코드

BachGAN: High-Resolution Image Synthesis from Salient Object Layout

https://github.com/CompVis/taming-transformers

공식 코드

Taming Transformers for High-Resolution Image Synthesis

https://github.com/Cynetics/MSGNet

공식 코드

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects

https://github.com/DAI-Lab/SteganoGAN

공식 코드

SteganoGAN: High Capacity Image Steganography with GANs

https://github.com/Daikenan/LTMU

공식 코드

High-Performance Long-Term Tracking with Meta-Updater

https://github.com/David3384/GI_2019

공식 코드

Detecting and Reducing Bias in a High Stakes Domain

https://github.com/DeLightCMU/PSA

공식 코드

Polarized Self-Attention: Towards High-quality Pixel-wise Regression

https://github.com/Denys88/rl_games

공식 코드

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

https://github.com/Dianezzy/ParaLip

공식 코드

Parallel and High-Fidelity Text-to-Lip Generation

https://github.com/Ding-Liu/DeepDenoising

공식 코드

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning

https://github.com/DudleyLab/widefield2confocal

공식 코드

Enhancing high-content imaging for studying microtubule networks at large-scale

https://github.com/FACEGOOD/FACEGOOD-Audio2Face

공식 코드

High-Quality Real Time Facial Capture Based on Single Camera

https://github.com/FrankD/fuser

공식 코드

High-dimensional regression over disease subgroups

https://github.com/GGiecold/ECLAIR

공식 코드

Robust Lineage Reconstruction from High-Dimensional Single-Cell Data

https://github.com/Ghadjeres/VarNet

공식 코드

Variation Network: Learning High-level Attributes for Controlled Input Manipulation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.