README.md

---
license: mit
library_name: pytorch
tags:
  - deep-learning
  - vision
---

# COOPERTRIM

## Model Description
COOPERTRIM: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception (ICLR 2026)
[![Paper](https://img.shields.io/badge/Paper-ICLR%202026-blue)](https://arxiv.org/abs/2602.13287)

The models starting with "det" are Cooperative 3D detection models for corresponding datasets OPV2V and V2V4REAL.
Rest all other models are Cooperative Segmentation models on OPV2V.
The corresponding configs are found at: https://github.com/UCR-CISL/CooperTrim/tree/master/configs

## How to use
Download the necessary model and place it in the same config folder as config.yaml will be placed for training/inference.

# code here
Github Link: https://github.com/UCR-CISL/CooperTrim 

## Citation

If you use this model in your research, please cite our paper:

```bibtex
@inproceedings{mukhopadhyaycoopertrim,
  title={CooperTrim: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception},
  author={Mukhopadhyay, Shilpa and Roy-Chowdhury, Amit and Qiu, Hang},
  booktitle={The Fourteenth International Conference on Learning Representations}
}