Papers with Code 아카이브
Robot Manipulation Generalization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MohitShridhar/genima
공식 코드https://github.com/NVlabs/RVT
공식 코드https://github.com/aswahd/sam2radiology
공식 코드Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
https://github.com/aswahd/samradiology
공식 코드Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
https://github.com/facebookresearch/r3m
공식 코드R3M: A Universal Visual Representation for Robot Manipulation
https://github.com/facebookresearch/sam2
공식 코드https://github.com/facebookresearch/segment-anything
공식 코드https://github.com/liliu-avril/Awesome-Segment-Anything
공식 코드https://github.com/peract/peract
공식 코드Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
https://github.com/robot-colosseum/robot-colosseum
공식 코드THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
https://github.com/simpler-env/SimplerEnv
공식 코드Evaluating Real-World Robot Manipulation Policies in Simulation
https://github.com/vlc-robot/polarnet
공식 코드Instruction-driven history-aware policies for robotic manipulations
https://github.com/vlc-robot/robot-3dlotus
공식 코드Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/sam
https://github.com/HibaKob/MicroBundlePillarTrack
https://github.com/IDEA-Research/Grounded-Segment-Anything
https://github.com/MindCode-4/code-4/tree/main/sam
https://github.com/MindSpore-scientific/code-7/tree/main/SAM
https://github.com/PaddlePaddle/PaddleSeg
https://github.com/TripleJoy/SAM2MOT
https://github.com/ZE-WEN/DendriteSAM
https://github.com/aim-uofa/matcher
https://github.com/arnab39/equiadapt
https://github.com/bowang-lab/medsam2
https://github.com/camenduru/grounded-segment-anything-colab
https://github.com/chwilms/sos
https://github.com/computational-cell-analytics/medico-sam
https://github.com/computational-cell-analytics/micro-sam
https://github.com/computational-cell-analytics/patho-sam
https://github.com/computational-cell-analytics/peft-sam
https://github.com/coradlut/bi-jros
https://github.com/dcnieho/segment-anything-2
https://github.com/geekyutao/inpaint-anything
https://github.com/guhur/hiveformer
Instruction-driven history-aware policies for robotic manipulations
https://github.com/harrytea/detect-anyshadow
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.