[CVPR 2024] Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation

This is the pytorch implementation of CVPR 2024 paper: Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation (IEVE).

Project Page

Overview:

Inspired by the human behavior of “getting closer to confirm” when recognizing distant objects, we formulate the task of determining whether an object matches the one in the goal image as a sequential decision problem. In addition, we design a novel matching function that relies not only on the current observation and goal image but also on the Euclidean distance between the agent and the potential target. We categorize the targets into confirmed target, potential target, and no-target (exploration), and allow the agent to actively choose among these three targets.

Installing Dependencies

• We use v0.2.3 of habitat-sim, please follow the instructions to complete installation
• Install habitat-lab:

cd 3rdparty\habitat-lab-0.2.3
pip install -e habitat-lab

• Install pytorch according to your system configuration
• cd to the root directory, install requirements

pip install -r requirements.txt

• Install LightGlue, please follow the official guidance
• Install detectron2 according to your system configuration

Downloading scene dataset and episode dataset

• Follow the instructions in habitat-lab
• Move the dataset or create a symlink at data

Pretrained models

• Download all the pretrained models from google drive and place in pretrained models of root directory.

Test setup

To test in the val set, run:

python main.py

Some tips

• Check agents\instance_exp.py to see the Switch Policy
• If you have any questions, feel free to open issues

Bibtex:

@inproceedings{lei2024instance,
  title={Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation},
  author={Lei, Xiaohan and Wang, Min and Zhou, Wengang and Li, Li and Li, Houqiang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={16329--16339},
  year={2024}
}