MJ0108

MJ0108's Stars

• antoalli/L2G

  End-to-End Learning to Grasp from Object Point Clouds

  Language:Python315

• rhett-chen/graspness_implementation

  My implementation of Graspnet Graspness.

  Language:Python12929

• rhett-chen/Robotic-grasping-papers

  paper list of robotic grasping and some related works

  22614

• ZhangHanbo/Visual-Manipulation-Relationship-Network-Pytorch

  Language:Python4113

• wenbowen123/catgrasp

  [ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

  Language:Python29781

• yiyeChen/CGNet

  Language:Python2

• junfu1115/DANet

  Dual Attention Network for Scene Segmentation (CVPR2019)

  Language:Python2.4k483

• TianheWu/LGPNet

  LGPNet: Alleviating A Few Labeled Data and Large-Scale Network Dilemmas in Grasping Detection

  Language:Python151

• ivalab/grasp_multiObject

  Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.

  Language:MATLAB10321

• luuuyi/CBAM.PyTorch

  Non-official implement of Paper：CBAM: Convolutional Block Attention Module

  Language:Python1.3k286

• mahaoxiang822/Boundary-Guided-Context-Aggregation

  Code for BMVC2021 paper "Boundary Guided Context Aggregation for Semantic Segmentation"

  Language:Python477

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.3k1.9k

• rstrudel/segmenter

  [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

  Language:Python827172

• BerkeleyAutomation/gqcnn

  Python module for GQ-CNN training and deployment with ROS integration.

  Language:Python306149

• zhaobinglei/REGNet_for_3D_Grasping

  RGENet is a REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. It aims at generating the optimal grasp of novel objects from partial noisy observations.

  Language:Python5610

• stanford-iprl-lab/Concept2Robot

  simulations used in "Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations"

  Language:Python246

• mapillary/seamseg

  Seamless Scene Segmentation

  Language:Python29153

• sty945/bank_interview

  :bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

  5.1k627

• stefan-ainetter/grasp_det_seg_cnn

  Code for ICRA21 paper "End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB".

  Language:Python13317

• graspnet/graspnet-baseline

  Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

  Language:Python459139

• wliu88/rail_semantic_grasping

  Pytorch code and SG14000 dataset for our ICRA 2020 paper "Context Aware Grasping Engine"

  Language:Python252

• svip-lab/LBYLNet

  [CVPR2021] Look before you leap: learning landmark features for one-stage visual grounding.

  Language:Python469

• Thaonguyen3095/affordance-language

  Code for RSS 2020 paper: Robot Object Retrieval with Contextual Natural Language Queries

  Language:Python143

• keyuan77-s/Gaussian-based-Grasping

  1

• skumra/robotic-grasping

  Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.

  Language:Python423116

• dougsm/ggcnn

  Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

  Language:Python496140

• siml3/GPS-Net

  Language:Python638