---
license: bsd-3-clause
tags:
- action-recognition
- few-shot-learning
- open-set-recognition
- video
- pytorch
library_name: pytorch
---

# SAFSAR — FR-Disc — UCF101 (5-shot)

Checkpoint from [*A Baseline Study and Benchmark for Few-Shot Open-Set Action Recognition with
Feature Residual Discrimination*](https://arxiv.org/abs/2603.04125) (Berti, Pasquale, Natale —
ICPR 2026), trained with the **discriminator (FR-Disc)** open-set loss.

- Model: `SAFSAR`
- Dataset: UCF101
- Setting: 5-way 5-shot
- Open-set method: FR-Disc (feature-residual discriminator)
- Checkpoint eval metrics (measured for this exact checkpoint): FS-ACC = 98.83, OS-ACC = 94.95

The paper's Table reports **99.28 FS-ACC / 91.52 OS-ACC** for this setting (averaged over evaluation episodes with a different random seed than this specific checkpoint's saved eval numbers below); the two should be close but are not guaranteed to match exactly.

Code, other checkpoints, and the [FSOS-AR benchmark splits](https://huggingface.co/datasets/HSP-IIT/fsos-ar-benchmark)
are at [hsp-iit/fsosar](https://github.com/hsp-iit/fsosar).

## Usage

```python
from huggingface_hub import hf_hub_download
import torch

ckpt_path = hf_hub_download(repo_id="HSP-IIT/fsosar-safsar-frdisc-ucf101-5shot", filename="model.pt")
state_dict = torch.load(ckpt_path, map_location="cpu")

# Requires the model definition from https://github.com/hsp-iit/fsosar
from models import SAFSAR
from utils import load_configs

config = load_configs("SAFSAR", "UCF101")
model = SAFSAR(config, disc=True, gc=False, dp=config["dp"])
model.load_state_dict(state_dict, strict=True)
model.eval()
```

## License

BSD 3-Clause, matching the [code repository](https://github.com/hsp-iit/fsosar).

## Citation

```bibtex
@inproceedings{berti2026fsosar,
  title     = {A Baseline Study and Benchmark for Few-Shot Open-Set Action Recognition with Feature Residual Discrimination},
  author    = {Berti, Stefano and Pasquale, Giulia and Natale, Lorenzo},
  booktitle = {International Conference on Pattern Recognition (ICPR)},
  year      = {2026}
}
```