https://github.com/roshantac/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
Papers with Code 아카이브
Vocal Bursts Intensity Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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://github.com/rosinality/id-gan-pytorch
https://github.com/rosinality/vq-vae-2-pytorch
https://github.com/roysaptaumich/HD-bandit-codes
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits
https://github.com/rramjee/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/rrwng/CPM
Capacity Preserving Mapping for High-dimensional Data Visualization
https://github.com/rsha0812/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/rui1223/confined-space-rearrangement
Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces
https://github.com/rui1223/confined_space_rearrangement
Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces
https://github.com/rwightman/efficientdet-pytorch
High-Performance Large-Scale Image Recognition Without Normalization
https://github.com/ryojitanabe/ela_drframework
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis
https://github.com/saberpowers/causalLearning
Some methods for heterogeneous treatment effect estimation in high-dimensions
https://github.com/sagy101/SoundGAN
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/sahilkhose/floodnet_vqa
Semi-Supervised Classification and Segmentation on High Resolution Aerial Images
https://github.com/saic-mdal/lama
Feature Refinement to Improve High Resolution Image Inpainting
https://github.com/salesforce/localization-xml-mt
A High-Quality Multilingual Dataset for Structured Documentation Translation
https://github.com/samb-t/unleashing-transformers
https://github.com/samgoldman97/ms-pred
Efficiently predicting high resolution mass spectra with graph neural networks
https://github.com/samgregoost/Spectral-GAN
https://github.com/samiatto/colide
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression
https://github.com/sarahromanes/multiDA
Diagonal Discriminant Analysis with Feature Selection for High Dimensional Data
https://github.com/sarus-tech/tf2-published-models
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/satyajitghana/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/sayakpaul/Adaptive-Gradient-Clipping
High-Performance Large-Scale Image Recognition Without Normalization
https://github.com/scikit-learn-contrib/categorical-encoding
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems
https://github.com/sdll/hrnet-pose-estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/seawander/aastex_pwned
Using Data Imputation for Signal Separation in High Contrast Imaging
https://github.com/seenu-g/DepthModel
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/seepala98/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/sense-x/tokenmix
High-Performance Large-Scale Image Recognition Without Normalization
https://github.com/seymayucer/VAEs
https://github.com/sgamezrdo/anomaly-aoutoencoding
Anomaly Detection using Autoencoders in High Performance Computing Systems
https://github.com/shifwang/irf
Iterative Random Forests to detect predictive and stable high-order interactions
https://github.com/shijianjian/HRNet_Keras
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/shmilyo/Low-Cost-Edge-Sensing-for-High-Quality-Demosaicking
https://github.com/showlab/Tune-A-Video
High-Resolution Image Synthesis with Latent Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.