HyperAI
Command Palette
Search for a command to run...
ビデオセグメンテーション
動画フレームを時間的な一貫性を持ちながら意味のある領域に分割すること。
リーダーボード
27 モデル 合計
ベンチマーク
VSPW
DVIS++(VIT-L)
SUN-SEG-Easy (Unseen)
LGRNet
SUN-SEG-Hard (Unseen)
Yolo-SAM 2
SA-V test
SA-V val
LVOS-v2
CityScapes
Cityscapes val
TMANet-50
SUN-SEG-Hard
PKU1
Youtube
FEELVOS
SUN-SEG-Easy
LGRNet
NYU-v2
CamVID
S4
MS3
AVSBench
Low-light VSPW
Low-light Cityscapes
Multispectral Video Semantic Segmentation
MVNet(DeepLabV3)
ReVOS
PKU2
Ref-YouTube-VOS
LaRS
WTC-HowTo
YouTube-VIS 2019
ESD
Ref-DAVIS-2017
YouTube-VOS_18
PUMaVOS
YouTube-VIS 2021
SoccerNet-v2
CALF (Cioppa et al.)
OVIS
WTC-VOST
nuScenes
NightCity
DAVIS 2017 (val)
DDD17
MOSE-val
MeViS
DSEC
SA-V
LVOS val
LV-VIS
VOS-T
VIL-100
ViSha
YoutubeVIS-2021
VSCOS
Waymo-4DSeg
YouTube Instructions
YouTube-VIS 2022
Youtube-VIS (trained with no video masks)
MaskFreeVIS
50-Salads
CVSD
Annotated video sequences
AVSBench Semantic
AVSBench-OV
AVSS
BDD-100K
Breakfast
CAMUS
ChangeSim
SMITE-50
Desktop Assembly
EchoNet-Dynamic
EPIC-Diff
HyperNeRF
LVOS-v1
Neu3D
OpenLane-V
Ref-DAVIS-17