Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 31
- 보존된 평가 기록
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Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.
A common benchmark for this task is MPII Human Pose
<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/anatolix/keras_Realtime_Multi-Person_Pose_Estimation
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/anchen1011/toflow
https://github.com/andreacoppari/ELSR-torch
ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices
https://github.com/andrewjong/SwapNet
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
https://github.com/anfidthtn/HAC
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/anibali/dsnt-pose2d
https://github.com/anibali/h36m-fetch
https://github.com/anilarmagan/HANDS19-Challenge-Toolbox
https://github.com/anktplwl91/Image-Superresolution
https://github.com/anshky/HR-NET
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/antabangun/coex
https://github.com/antheali/3dpartassembly
https://github.com/antoniolq/st-gcn
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/anujdutt9/ESPCN
https://github.com/anujdutt9/LwPosr-PyTorch
LwPosr: Lightweight Efficient Fine-Grained Head Pose Estimation
https://github.com/anuragmundhada/3dpose-demo-iitb
https://github.com/apple/ml-live-pose
https://github.com/apratimbhattacharyya18/CGM_BestOfMany
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective
https://github.com/arcadelab/DeepDRR
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
https://github.com/arjunarao619/SRCNN_Pytorch
https://github.com/arthur-qiu/freenoise-lavie
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
https://github.com/arunos728/arunos728.github.io
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos
https://github.com/asanakoy/deep_unsupervised_posets
Deep Unsupervised Similarity Learning using Partially Ordered Sets
https://github.com/ashkanpakzad/atn
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/ashley-kim521/11785-project-active-learning-for-YOLO
https://github.com/asyrovprog/cs230project
https://github.com/ataata107/Research-Papers-Implementations/tree/master/Single-shot%20multi%20person%203d%20body%20pose
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
https://github.com/atheesh1998/Image-Super-Resolution
https://github.com/atomicarchitects/equiformer_v2
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
https://github.com/atriumlts/subpixel
https://github.com/augcog/dttdv1
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
https://github.com/axelBarroso/Key.Net_Pytorch
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
https://github.com/axinc-ai/ailia-models/tree/master/pose_estimation_3d/blazepose-fullbody
https://github.com/ayanglab/swinganmr
https://github.com/ayanglab/swinmr
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.