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Models/RENet

RENet

Reported on 26 benchmarks across 7 tasks · 2 papers

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

Computer Vision18 results

Object DetectiononDSEC
mAP· 2022-09-17
29.4
best: 38 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
Object DetectiononPKU-DDD17-Car
mAP50· 2022-09-17
81.4
best: 86.7 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2021-08-22
91.11
best: 98.7 (CAML [Laion-2b])
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2021-08-22
79.49
best: 95.8 (PT+MAP+SF+SOT (transductive))
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2021-08-22
74.51
best: 89.94 (PT+MAP+SF+SOT (transductive))
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2021-08-22
82.58
best: 98.72 (SgVA-CLIP)
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2021-08-22
67.6
best: 97.95 (SgVA-CLIP)
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2021-08-22
71.61
best: 96.8 (CAML [Laion-2b])
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2021-08-22
85.28
best: 98.8 (CAML [Laion-2b])
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2021-08-22
86.6
best: 93.5 (CAML [Laion-2b])
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2021-08-22
91.11
best: 98.7 (CAML [Laion-2b])
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2021-08-22
79.49
best: 95.8 (PT+MAP+SF+SOT (transductive))
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2021-08-22
74.51
best: 89.94 (PT+MAP+SF+SOT (transductive))
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2021-08-22
82.58
best: 98.72 (SgVA-CLIP)
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2021-08-22
67.6
best: 97.95 (SgVA-CLIP)
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2021-08-22
71.61
best: 96.8 (CAML [Laion-2b])
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2021-08-22
85.28
best: 98.8 (CAML [Laion-2b])
Relational Embedding for Few-Shot Classification arXiv:2108.09666
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2021-08-22
86.6
best: 93.5 (CAML [Laion-2b])
Relational Embedding for Few-Shot Classification arXiv:2108.09666

Methodology8 results

3DonDSEC
mAP· 2022-09-17
29.4
best: 38 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
3DonPKU-DDD17-Car
mAP50· 2022-09-17
81.4
best: 86.7 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
2D ClassificationonDSEC
mAP· 2022-09-17
29.4
best: 38 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
2D ClassificationonPKU-DDD17-Car
mAP50· 2022-09-17
81.4
best: 86.7 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
2D Object DetectiononDSEC
mAP· 2022-09-17
29.4
best: 38 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
2D Object DetectiononPKU-DDD17-Car
mAP50· 2022-09-17
81.4
best: 86.7 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
16konDSEC
mAP· 2022-09-17
29.4
best: 38 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323
16konPKU-DDD17-Car
mAP50· 2022-09-17
81.4
best: 86.7 (CAFR)
RGB-Event Fusion for Moving Object Detection in Autonomous Driving arXiv:2209.08323