https://github.com/Healthcare-Robotics/spectrovision
공식 코드Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging
Papers with Code 아카이브
Material Recognition
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Material recognition focuses on identifying classes, types, states, and properties of materials.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/apple/ml-dms-dataset
공식 코드A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing
https://github.com/deepneuroscience/DeepThermalImaging
공식 코드https://github.com/healthcare-robotics/mr-gan
공식 코드Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
https://github.com/herolab-uga/matsee
공식 코드https://github.com/junweizheng93/materobot
공식 코드MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments
https://github.com/sagieppel/matseg
공식 코드https://github.com/zhanghang1989/Deep-Encoding
공식 코드https://github.com/CWanli/myencoding
https://github.com/Healthcare-Robotics/smm50
https://github.com/Praveen94/pytorch-encoding
https://github.com/Puning97/AUTO-for-OOD-detection
https://github.com/RyanHTR/PyTorch-Encoding
https://github.com/deeplearning-wisc/cider
https://github.com/deeplearning-wisc/dice
https://github.com/deeplearning-wisc/gradnorm_ood
https://github.com/deeplearning-wisc/knn-ood
https://github.com/deeplearning-wisc/large_scale_ood
https://github.com/deeplearning-wisc/npos
https://github.com/deeplearning-wisc/react
https://github.com/deeplearning-wisc/snn
https://github.com/etmwb/cvsegmentation
https://github.com/huzexi/huzexi
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels
https://github.com/jiaxue1993/pytorch-material-classification
Differential Viewpoints for Ground Terrain Material Recognition
https://github.com/jimzai/mode-ood
https://github.com/kebasaa/SCIO-read
https://github.com/kmaninis/pytorch-encoding
https://github.com/mapleleaf6/zode
https://github.com/sagieppel/MatSim-Dataset-Generator-Scripts-And-Neural-net
https://github.com/sagieppel/testing-large-vision-language-models-lvlm-on-visual-questions
Shape and Texture Recognition in Large Vision-Language Models
https://github.com/tmlr-group/class_prior
https://github.com/tmlr-group/neglabel
https://github.com/vijayiitkgp/textue_ensemble_framework
https://github.com/xllau/PyTorch-Encoding
https://github.com/yonghyun-ahn/line-out-of-distribution-detection-by-leveraging-important-neurons
https://github.com/zhanghang1989/PyTorch-Encoding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.