Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/E2 method (Normalized Gaussian Wasserstein Distance + Switch Hard Augmentation + Multi scale train + Weight Moving Average + CenterNet + VarifocalNet)

E2 method (Normalized Gaussian Wasserstein Distance + Switch Hard Augmentation + Multi scale train + Weight Moving Average + CenterNet + VarifocalNet)

Reported on 12 benchmarks across 6 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology8 results

3DonSOD4SB Private Test
AP50· uses extra data· 2023-07-18
22.1
best: 30.3 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
3DonSOD4SB Public Test
AP50· uses extra data· 2023-07-18
69.6
best: 77.6 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
2D ClassificationonSOD4SB Private Test
AP50· uses extra data· 2023-07-18
22.1
best: 30.3 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
2D ClassificationonSOD4SB Public Test
AP50· uses extra data· 2023-07-18
69.6
best: 77.6 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
2D Object DetectiononSOD4SB Private Test
AP50· uses extra data· 2023-07-18
22.1
best: 30.3 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
2D Object DetectiononSOD4SB Public Test
AP50· uses extra data· 2023-07-18
69.6
best: 77.6 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
16konSOD4SB Private Test
AP50· uses extra data· 2023-07-18
22.1
best: 30.3 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
16konSOD4SB Public Test
AP50· uses extra data· 2023-07-18
69.6
best: 77.6 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143

Computer Vision4 results

Object DetectiononSOD4SB Private Test
AP50· uses extra data· 2023-07-18
22.1
best: 30.3 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
Object DetectiononSOD4SB Public Test
AP50· uses extra data· 2023-07-18
69.6
best: 77.6 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
Small Object DetectiononSOD4SB Private Test
AP50· uses extra data· 2023-07-18
22.1
best: 30.3 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143
Small Object DetectiononSOD4SB Public Test
AP50· uses extra data· 2023-07-18
69.6
best: 77.6 (Weighted Box Fusion (WBF))
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results arXiv:2307.09143