https://github.com/zhang-tao-whu/e2ec
공식 코드E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
Papers with Code 아카이브
Vocal Bursts Intensity Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/zhanggang001/RefineMask
공식 코드RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features
https://github.com/zhangqianhui/gazeanimationv2
공식 코드Unsupervised High-Resolution Portrait Gaze Correction and Animation
https://github.com/zhangzx-sjtu/LANTERN-NeurIPS-2019
공식 코드Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
https://github.com/zhaoweicai/Detectron-Cascade-RCNN
공식 코드Cascade R-CNN: High Quality Object Detection and Instance Segmentation
https://github.com/zhaoweicai/cascade-rcnn
공식 코드https://github.com/zhigao-guo/parallel-minobs
공식 코드Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning
https://github.com/zhihengli-UR/StyleT2I
공식 코드StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis
https://github.com/zhuhao-nju/describe3d
공식 코드High-Fidelity 3D Face Generation from Natural Language Descriptions
https://github.com/zi-w/Structural-Kernel-Learning-for-HDBBO
공식 코드Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
https://github.com/zihangdai/mos
공식 코드Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
https://github.com/zihuazheng/dip
공식 코드DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
https://github.com/ziweimei/pmtest
공식 코드A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates
https://github.com/ziyizhang27/dite-hrnet
공식 코드Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation
https://github.com/ziyuw/rembo
공식 코드High Dimensional Bayesian Optimization via Supervised Dimension Reduction
https://github.com/zysxmu/hqss
공식 코드https://github.com/zzd1992/Adversarial-Defense-by-Suppressing-High-Frequencies
공식 코드Adversarial Defense by Suppressing High-frequency Components
https://gitlab.com/computationalscience/loss-visualization
공식 코드Visualizing high-dimensional loss landscapes with Hessian directions
https://gitlab.com/i-flow/i-flow
공식 코드i-flow: High-dimensional Integration and Sampling with Normalizing Flows
https://github.com/0x0f0f0f/Metatheory.jl
https://github.com/163GitHub/AI
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/2023-MindSpore-1/ms-code-16/tree/main/ADNet
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
https://github.com/2023-MindSpore-1/ms-code-162
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceDetection
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HMR
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HRNetW48_seg
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/RefineNet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/2023-MindSpore-1/ms-code-224/tree/main/ADNet
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/Pix2PixHD1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/cct
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets
https://github.com/2023-MindSpore-4/Code-5/tree/main/HDR-Transformer
Ghost-free High Dynamic Range Imaging with Context-aware Transformer
https://github.com/2023-MindSpore-4/Code-5/tree/main/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/2023-MindSpore-4/Code-5/tree/main/lite-hrnet
https://github.com/2023-MindSpore-4/Code12/tree/main/d2l/chapter_12_computational-performance
https://github.com/2023-MindSpore-4/Code6/tree/main/PyramidBox
PyramidBox++: High Performance Detector for Finding Tiny Face
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.