Fetching the paper…
Reading the bibliography…
Recent work in Vision-and-Language Navigation (VLN) has presented two environmental paradigms with differing realism -- the standard VLN setting built on topological environments where navigation is abstracted away, and the VLN-CE setting where agents must navigate continuous 3D environments using low-level actions.
Quigley, M., Conley, K., Gerkey, B.P., Faust, J., Foote, T., Leibs, J., Wheeler, R., Ng, A.Y.: Ros: an open-source robot operating system. In: ICRA Workshop on Open Source Software (2009)
2009
Earlier work this paper cites.
Cuturi, M.: Sinkhorn distances: Lightspeed computation of optimal transport. NeurIPS (2013)
2013
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)
2016
Earlier work this paper cites.
Chang, A., Dai, A., Funkhouser, T., Halber, M., Niessner, M., Savva, M., Song, S., Zeng, A., Zhang, Y.: Matterport3d: learning from rgb-d data in indoor environments. In: 3DV (2017), MatterPort3D dataset license available at: http://kaldir.vc.in.tum.de/matterport/MP_TOS.pdf
2017
Earlier work this paper cites.
Zhou, B., Lapedriza, A., Khosla, A., Oliva, A., Torralba, A.: Places: A 10 million image database for scene recognition. TPAMI (2017)
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., Reid, I., Gould, S., van den Hengel, A.: Vision-and-language navigation: interpreting visually-grounded navigation instructions in real environments. In: CVPR (2018)
2018
Earlier work this paper cites.
Fried, D., Hu, R., Cirik, V., Rohrbach, A., Andreas, J., Morency, L.P., Berg-Kirkpatrick, T., Saenko, K., Klein, D., Darrell, T.: Speaker-follower models for vision-and-language navigation. In: NeurIPS (2018)
2018
Earlier work this paper cites.
Gordon, D., Kadian, A., Parikh, D., Hoffman, J., Batra, D.: Splitnet: sim2sim and task2task transfer for embodied visual navigation. In: CVPR (2019)
2019
Earlier work this paper cites.
Manolis Savva*, Abhishek Kadian*, Oleksandr Maksymets*, Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J., Parikh, D., Batra, D.: Habitat: a platform for embodied ai research. In: ICCV (2019)
2019
Cited alongside, same era.
Tan, H., Yu, L., Bansal, M.: Learning to navigate unseen environments: back translation with environmental dropout. In: NAACL HLT (2019)
2019
Cited alongside, same era.
Wang, X., Huang, Q., Celikyilmaz, A., Gao, J., Shen, D., Wang, Y.F., Wang, W.Y., Zhang, L.: Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation. In: CVPR (2019)
2019
Cited alongside, same era.
Anderson, P., Shrivastava, A., Truong, J., Majumdar, A., Parikh, D., Batra, D., Lee, S.: Sim-to-real transfer for vision-and-language navigation. In: CoRL (2020)
2020
Cited alongside, same era.
Krantz, J., Wijmans, E., Majumdar, A., Batra, D., Lee, S.: Beyond the nav-graph: vision-and-language navigation in continuous environments. In: ECCV (2020)
2020
Later among the works it cites.
Majumdar, A., Shrivastava, A., Lee, S., Anderson, P., Parikh, D., Batra, D.: Improving vision-and-language navigation with image-text pairs from the web. In: ECCV (2020)
2020
Later among the works it cites.
Chen, K., Chen, J.K., Chuang, J., Vázquez, M., Savarese, S.: Topological planning with transformers for vision-and-language navigation. In: CVPR (2021)
2021
Later among the works it cites.
Chen, S., Guhur, P.L., Schmid, C., Laptev, I.: History aware multimodal transformer for vision-and-language navigation. In: NeurIPS (2021)
2021
Later among the works it cites.
Hahn, M., Chaplot, D.S., Tulsiani, S., Mukadam, M., Rehg, J.M., Gupta, A.: No rl, no simulation: learning to navigate without navigating. In: NeurIPS (2021)
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Blukis, V., Terme, Y., Niklasson, E., Knepper, R.A., Artzi, Y.: Learning to map natural language instructions to physical quadcopter control using simulated flight. In: CoRL (2020)
2020
Cited alongside, same era.
Chaplot, D.S., Gandhi, D., Gupta, S., Gupta, A., Salakhutdinov, R.: Learning to explore using active neural slam. In: ICLR (2020)
2020
Cited alongside, same era.
Deitke, M., Han, W., Herrasti, A., Kembhavi, A., Kolve, E., Mottaghi, R., Salvador, J., Schwenk, D., VanderBilt, E., Wallingford, M., et al.: Robothor: an open simulation-to-real embodied ai platform. In: CVPR (2020)
2020
Cited alongside, same era.
Hao, W., Li, C., Li, X., Carin, L., Gao, J.: Towards learning a generic agent for vision-and-language navigation via pre-training. In: CVPR (2020)
2020
Cited alongside, same era.
Kadian, A., Truong, J., Gokaslan, A., Clegg, A., Wijmans, E., Lee, S., Savva, M., Chernova, S., Batra, D.: Are we making real progress in simulated environments? measuring the sim2real gap in embodied visual navigation. In: IROS (2020)
2020
Cited alongside, same era.
2021
Later among the works it cites.
Hong, Y., Wu, Q., Qi, Y., Rodriguez-Opazo, C., Gould, S.: Vln bert: a recurrent vision-and-language bert for navigation. In: CVPR (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
Krantz, J., Gokaslan, A., Batra, D., Lee, S., Maksymets, O.: Waypoint models for instruction-guided navigation in continuous environments. In: ICCV (2021)
2021
Later among the works it cites.
Raychaudhuri, S., Wani, S., Patel, S., Jain, U., Chang, A.X.: Language-aligned waypoint (law) supervision for vision-and-language navigation in continuous environments. In: EMNLP (2021)
2021
Later among the works it cites.