https://github.com/ustczzl/hrg_net
공식 코드A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions
Papers with Code 아카이브
Robotic Grasping
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This task is composed of using Deep Learning to identify how best to grasp objects using robotic arms in different scenarios. This is a very complex task as it might involve dynamic environments and objects unknown to the network.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/vinayakkapoor/vision_based_grasping_benchmarking
공식 코드A Benchmarking Study of Vision-based Robotic Grasping Algorithms
https://github.com/vineet2104/hifics
공식 코드HiFi-CS: Towards Open Vocabulary Visual Grounding For Robotic Grasping Using Vision-Language Models
https://github.com/wangshaosun/grasp-transformer
공식 코드When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection
https://github.com/wenbowen123/catgrasp
공식 코드CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
https://github.com/wenbowen123/icra20-hand-object-pose
공식 코드Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
https://github.com/y2863/MetaGraspNet
공식 코드https://github.com/zhirui-gao/deep-template-matching
공식 코드Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement
https://github.com/zhujunli1993/swindepose
공식 코드Depth-based 6DoF Object Pose Estimation using Swin Transformer
https://github.com/0jason000/Inception_V4
https://github.com/0jason000/inception_v3
https://github.com/2023-MindSpore-1/ms-code-203
https://github.com/21-projects-for-deep-learning/image2text
https://github.com/571502680/robot-grasp-detection
Real-Time Grasp Detection Using Convolutional Neural Networks
https://github.com/AKASH2907/bird-species-classification
https://github.com/AKASH2907/bird_species_classification
https://github.com/AKASH2907/indian_landmark_recognition
https://github.com/AsafBarZvi/Liver_project
https://github.com/Bersaelor/AAPLMetalImageRecognition
https://github.com/CESARDELATORRE/ComputerVisionTensorFlowMLNET
https://github.com/ChangweiZhang/Awesome-WindowsML-ONNX-Models
https://github.com/Ciprian95/Licenta
https://github.com/DT42/BerryNet
https://github.com/DanishShah/DeepDiagnosis
https://github.com/DeepMark/deepmark
https://github.com/DucTranVan/grasp-detection-pytorch
Real-Time Grasp Detection Using Convolutional Neural Networks
https://github.com/H-Freax/ThinkGrasp
https://github.com/IMvision12/keras-vision-models
https://github.com/JanMarcelKezmann/Residual-Network-Architectures
https://github.com/Jayanthipalanichamy/ElucidateTheScene
https://github.com/KyleYoung1997/DNNorDermatologist
https://github.com/LKLQQ/Inception-v2
https://github.com/Liuyubao/transfer-learning
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/inception_v3
https://github.com/Mayurji/Image-Classification-PyTorch
https://github.com/Meghraj-Webllisto/stylegan
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.