SELSA (ResNeXt-101)

Reported on 5 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Methodology4 results

3DonImageNet VID
MAP · 2019-07-15
84.3
best: 93.2 (YOLOV++)
SOTA
Sequence Level Semantics Aggregation for Video Object Detection arXiv:1907.06390
2D ClassificationonImageNet VID
MAP · 2019-07-15
84.3
best: 93.2 (YOLOV++)
SOTA
Sequence Level Semantics Aggregation for Video Object Detection arXiv:1907.06390
2D Object DetectiononImageNet VID
MAP · 2019-07-15
84.3
best: 93.2 (YOLOV++)
SOTA
Sequence Level Semantics Aggregation for Video Object Detection arXiv:1907.06390
16konImageNet VID
MAP · 2019-07-15
84.3
best: 93.2 (YOLOV++)
SOTA
Sequence Level Semantics Aggregation for Video Object Detection arXiv:1907.06390

Computer Vision1 result

Object DetectiononImageNet VID
MAP · 2019-07-15
84.3
best: 93.2 (YOLOV++)
SOTA
Sequence Level Semantics Aggregation for Video Object Detection arXiv:1907.06390