Views
No views yet
1import torch
2model = torch.hub.load("Lu-Feng/ImAge", "ImAge")
3model.eval()
4
5# Extract descriptor from an image
6image = torch.randn(1, 3, 322, 322) # [B, 3, H, W]
7with torch.no_grad():
8 descriptor = model(image) # [B, 6144] L2-normalized descriptor1@inproceedings{ImAge,
2title={Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era},
3author={Feng Lu and Tong Jin and Canming Ye and Xiangyuan Lan and Yunpeng Liu and Chun Yuan},
4booktitle={The Annual Conference on Neural Information Processing Systems},
5year={2025}
6}