← Unsupervised Video Object Segmentation
Papers with Code · CC BY-SA 4.0

DAVIS 2016 val

아카이브 평가 25건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
GSANet
G
88.9
J
88.3
F
89.6
Guided Slot Attention for Unsupervised Video Object Segmentation
2023-03-15
코드 1
DEVA (DIS)
G
88.9
J
87.6
F
90.2
Tracking Anything with Decoupled Video Segmentation
2023-09-07
코드 1
FakeFlow
G
88.5
J
88.0
F
89.0
Improving Unsupervised Video Object Segmentation via Fake Flow Generation
2024-07-16
연결 없음
DPA
G
87.6
J
86.8
F
88.4
Dual Prototype Attention for Unsupervised Video Object Segmentation
2022-11-22
코드 1
AMP
G
87.3
J
87.1
F
87.5
Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation
2023-03-18
코드 1
TMO (MiT-b1)
G
87.2
J
86.6
F
87.8
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
2022-09-04
코드 1 · 코드 2
TMO (RN-101)
G
86.1
J
85.6
F
86.6
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
2022-09-04
코드 1 · 코드 2
D2Conv3D
G
86.0
J
85.5
F
86.5
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
2021-11-15
코드 1 · 코드 2
PMN
G
85.9
J
85.4
F
86.4
Unsupervised Video Object Segmentation via Prototype Memory Network
2022-09-08
코드 1
DLDA
G
85.75
J
84.9
F
86.6
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention
2024-01-25
연결 없음
IMP
G
85.6
J
84.5
F
86.7
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
2021-12-23
연결 없음
RTNet
G
85.2
J
85.6
F
84.7
Reciprocal Transformations for Unsupervised Video Object Segmentation
2021-06-19
코드 1
TransportNet
G
84.8
J
84.5
F
85.0
Deep Transport Network for Unsupervised Video Object Segmentation
2021-01-01
연결 없음
AMC-Net
G
84.6
J
84.5
F
84.6
Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation
2021-01-01
코드 1
3DC-Seg
G
84.5
J
84.3
F
84.7
Making a Case for 3D Convolutions for Object Segmentation in Videos
2020-08-26
코드 1
F2Net
G
83.7
J
83.1
F
54.4
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
2020-12-04
연결 없음
FSNet
G
83.3
J
83.4
F
83.1
Full-Duplex Strategy for Video Object Segmentation
2021-08-06
코드 1
DFNet
G
82.6
J
83.4
F
81.8
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
2020-08-04
연결 없음
MATNet
G
81.6
J
82.4
F
80.7
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
2020-03-09
코드 1
WCS-Net
G
81.5
J
82.2
F
80.7
Unsupervised Video Object Segmentation with Joint Hotspot Tracking
논문 날짜 미기재
연결 없음
AD-Net
G
81.1
J
81.7
F
80.5
Anchor Diffusion for Unsupervised Video Object Segmentation
2019-10-24
코드 1
COSNet
G
80.0
J
80.5
F
79.4
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
2020-01-19
코드 1
AGNN
G
79.9
J
80.7
F
79.1
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
2020-01-19
코드 1
AGS
G
78.6
J
79.7
F
77.4
Learning Unsupervised Video Object Segmentation Through Visual Attention
2019-06-01
코드 1
PDB
G
75.9
J
77.2
F
74.5
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
2018-09-01
연결 없음