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/EarlyBird

EarlyBird

Reported on 32 benchmarks across 8 tasks · 1 paper · 10 SOTA

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

Computer Vision16 results

Multi-Object TrackingonMultiviewX
IDF1· 2023-10-20
82.4
best: 85.6 (TrackTacular (Bilinear Sampling))
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Multi-Object TrackingonMultiviewX
MOTA· 2023-10-20
88.4
best: 92.4 (TrackTacular (Bilinear Sampling))
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Object TrackingonMultiviewX
IDF1· 2023-10-20
82.4
best: 85.6 (TrackTacular (Bilinear Sampling))
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Object TrackingonMultiviewX
MOTA· 2023-10-20
88.4
best: 92.4 (TrackTacular (Bilinear Sampling))
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Object DetectiononMultiviewX
MODA· 2023-10-20
94.2
best: 96.7 (M-MVOT)
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
3D Object DetectiononMultiviewX
MODA· 2023-10-20
94.2
best: 96.7 (M-MVOT)
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Multi-Object TrackingonWildtrack
IDF1· 2023-10-20
92.3
best: 95.6 (MCBLT)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Multi-Object TrackingonWildtrack
MOTA· 2023-10-20
89.5
best: 92.6 (MCBLT)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Object TrackingonWildtrack
IDF1· 2023-10-20
92.3
best: 95.6 (MCBLT)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Object TrackingonWildtrack
MOTA· 2023-10-20
89.5
best: 92.6 (MCBLT)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Object DetectiononWildtrack
MODA· 2023-10-20
91.2
best: 94.1 (MVFP)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Object DetectiononWildtrack
MODP· 2023-10-20
81.8
best: 82.1 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
Object DetectiononMultiviewX
MODP· 2023-10-20
90.1
best: 91.3 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
3D Object DetectiononWildtrack
MODA· 2023-10-20
91.2
best: 94.1 (MVFP)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
3D Object DetectiononWildtrack
MODP· 2023-10-20
81.8
best: 82.1 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
3D Object DetectiononMultiviewX
MODP· 2023-10-20
90.1
best: 91.3 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350

Methodology16 results

3DonMultiviewX
MODA· 2023-10-20
94.2
best: 96.7 (M-MVOT)
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
2D ClassificationonMultiviewX
MODA· 2023-10-20
94.2
best: 96.7 (M-MVOT)
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
2D Object DetectiononMultiviewX
MODA· 2023-10-20
94.2
best: 96.7 (M-MVOT)
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
16konMultiviewX
MODA· 2023-10-20
94.2
best: 96.7 (M-MVOT)
SOTA
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
3DonWildtrack
MODA· 2023-10-20
91.2
best: 94.1 (MVFP)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
3DonWildtrack
MODP· 2023-10-20
81.8
best: 82.1 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
3DonMultiviewX
MODP· 2023-10-20
90.1
best: 91.3 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
2D ClassificationonWildtrack
MODA· 2023-10-20
91.2
best: 94.1 (MVFP)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
2D ClassificationonWildtrack
MODP· 2023-10-20
81.8
best: 82.1 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
2D ClassificationonMultiviewX
MODP· 2023-10-20
90.1
best: 91.3 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
2D Object DetectiononWildtrack
MODA· 2023-10-20
91.2
best: 94.1 (MVFP)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
2D Object DetectiononWildtrack
MODP· 2023-10-20
81.8
best: 82.1 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
2D Object DetectiononMultiviewX
MODP· 2023-10-20
90.1
best: 91.3 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
16konWildtrack
MODA· 2023-10-20
91.2
best: 94.1 (MVFP)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
16konWildtrack
MODP· 2023-10-20
81.8
best: 82.1 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350
16konMultiviewX
MODP· 2023-10-20
90.1
best: 91.3 (MVDeTr)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View arXiv:2310.13350