https://github.com/glarbi/Face-detection
Selective Refinement Network for High Performance Face Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
predict the intensity of 10 categorical emotions
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Selective Refinement Network for High Performance Face Detection
High-Resolution Image Synthesis with Latent Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Unlocking High-Accuracy Differentially Private Image Classification through Scale
Deep High-Resolution Representation Learning for Human Pose Estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
Building high-level features using large scale unsupervised learning
Discovering Structure in High-Dimensional Data Through Correlation Explanation
Discovering Structure in High-Dimensional Data Through Correlation Explanation
Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions
High Quality Monocular Depth Estimation via Transfer Learning
High-Dimensional Continuous Control Using Generalized Advantage Estimation
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Restormer: Efficient Transformer for High-Resolution Image Restoration
HandTailor: Towards High-Precision Monocular 3D Hand Recovery
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Classification without labels: Learning from mixed samples in high energy physics
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
High-Performance Large-Scale Image Recognition Without Normalization
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Solving high-dimensional partial differential equations using deep learning
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.