awesome grounding: A curated list of research papers in visual grounding
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Updated
Apr 9, 2023
awesome grounding: A curated list of research papers in visual grounding
Large-scale pretrained models for goal-directed dialog
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Open Platform for Embodied Agents
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
A curated list of “Temporally Language Grounding” and related area
Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI
A Pytorch implemention for some state-of-the-art models for" Temporally Language Grounding in Untrimmed Videos"
NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"
Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video (AAAI2020)
Official code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"
This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial languages using deep learning, relying on PyTorch (https://www.pytorch.org).
[ICLR 2022 Spotlight] Multi-Stage Episodic Control for Strategic Exploration in Text Games
Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong, and Richard Socher
An accompanying code and experiments' results for Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
This repo contains the implelemtation for a simple language grounding in python using the robot Pepper and dockers running the servers for language groundind and speech recognition.
A package that uses BabyAI in a sender/receiver setup.
Fourier Transform Enhanced Vision Language Multi-goal Navigation
Spatial Preposition Annotation Tool for Virtual Environments
Training anki robots to do simple things e.g. "go to the green cup"
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