Ours (Faster RCNN)

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

3DonEPIC-KITCHENS-55
mAP@.5· 2023-08-09
41.7
SOTA
Objects do not disappear: Video object detection by single-frame object location anticipation arXiv:2308.04770
2D ClassificationonEPIC-KITCHENS-55
mAP@.5· 2023-08-09
41.7
SOTA
Objects do not disappear: Video object detection by single-frame object location anticipation arXiv:2308.04770
2D Object DetectiononEPIC-KITCHENS-55
mAP@.5· 2023-08-09
41.7
SOTA
Objects do not disappear: Video object detection by single-frame object location anticipation arXiv:2308.04770
16konEPIC-KITCHENS-55
mAP@.5· 2023-08-09
41.7
SOTA
Objects do not disappear: Video object detection by single-frame object location anticipation arXiv:2308.04770

Computer Vision1 result

Object DetectiononEPIC-KITCHENS-55
mAP@.5· 2023-08-09
41.7
SOTA
Objects do not disappear: Video object detection by single-frame object location anticipation arXiv:2308.04770