← Referring Expression Segmentation
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아카이브 평가 21건 · 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
SgMg (Video-Swin-B)
Precision@0.5
0.972
Precision@0.6
0.917
Precision@0.7
0.714
Precision@0.8
0.225
Precision@0.9
0.003
AP
0.450
IoU overall
0.737
IoU mean
0.725
Spectrum-guided Multi-granularity Referring Video Object Segmentation
2023-07-25
코드 1
SOC (Video-Swin-B)
Precision@0.5
0.969
Precision@0.6
0.914
Precision@0.7
0.711
Precision@0.8
0.213
Precision@0.9
0.001
AP
0.446
IoU overall
0.736
IoU mean
0.723
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
2023-05-26
코드 1
VLIDE
Precision@0.5
0.874
Precision@0.6
0.791
Precision@0.7
0.586
Precision@0.8
0.182
Precision@0.9
0.30
AP
0.441
IoU overall
0.68
IoU mean
0.666
Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation
2022-03-30
연결 없음
SOC (Video-Swin-T)
Precision@0.5
0.947
Precision@0.6
0.864
Precision@0.7
0.627
Precision@0.8
0.179
Precision@0.9
0.001
AP
0.397
IoU overall
0.707
IoU mean
0.701
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
2023-05-26
코드 1
MTTR (w=10)
Precision@0.5
0.939
Precision@0.6
0.852
Precision@0.7
0.616
Precision@0.8
0.166
Precision@0.9
0.001
AP
0.392
IoU overall
0.701
IoU mean
0.698
End-to-End Referring Video Object Segmentation with Multimodal Transformers
2021-11-29
코드 1 · 코드 2
MTTR (w=8)
Precision@0.5
0.91
Precision@0.6
0.815
Precision@0.7
0.57
Precision@0.8
0.144
Precision@0.9
0.001
AP
0.366
IoU overall
0.674
IoU mean
0.679
End-to-End Referring Video Object Segmentation with Multimodal Transformers
2021-11-29
코드 1 · 코드 2
CMPC-V
Precision@0.5
0.813
Precision@0.6
0.657
Precision@0.7
0.371
Precision@0.8
0.07
Precision@0.9
0.000
AP
0.342
IoU overall
0.616
IoU mean
0.617
Cross-Modal Progressive Comprehension for Referring Segmentation
2021-05-15
코드 1
Hui et al.
Precision@0.5
0.783
Precision@0.6
0.639
Precision@0.7
0.378
Precision@0.8
0.076
Precision@0.9
0.000
AP
0.335
IoU overall
0.598
IoU mean
0.604
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
2021-05-14
연결 없음
AAMN
Precision@0.5
0.773
Precision@0.6
0.627
Precision@0.7
0.360
Precision@0.8
0.044
Precision@0.9
0.000
AP
0.321
IoU overall
0.583
IoU mean
0.576
Actor and Action Modular Network for Text-based Video Segmentation
2020-11-02
연결 없음
CMDy
Precision@0.5
0.742
Precision@0.6
0.587
Precision@0.7
0.316
Precision@0.8
0.047
Precision@0.9
0.000
AP
0.301
IoU overall
0.554
IoU mean
0.576
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries
2020-04-03
연결 없음
PRPE
Precision@0.5
0.572
Precision@0.6
0.690
Precision@0.7
0.319
Precision@0.8
0.06
Precision@0.9
0.001
AP
0.294
Polar Relative Positional Encoding for Video-Language Segmentation
2020-07-20
연결 없음
ACGA
Precision@0.5
0.756
Precision@0.6
0.564
Precision@0.7
0.287
Precision@0.8
0.034
Precision@0.9
0.000
AP
0.289
IoU overall
0.576
IoU mean
0.584
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query
2019-10-01
코드 1
Gavrilyuk et al. (Optical flow)
Precision@0.5
0.712
Precision@0.6
0.518
Precision@0.7
0.264
Precision@0.8
0.030
Precision@0.9
0.000
AP
0.267
IoU overall
0.555
IoU mean
0.570
Actor and Action Video Segmentation from a Sentence
2018-03-20
코드 1
VT-Capsule
Precision@0.5
0.677
Precision@0.6
0.513
Precision@0.7
0.283
Precision@0.8
0.051
Precision@0.9
0.000
AP
0.261
IoU overall
0.535
IoU mean
0.550
Visual-Textual Capsule Routing for Text-Based Video Segmentation
2020-06-01
연결 없음
Gavrilyuk et al.
Precision@0.5
0.699
Precision@0.6
0.460
Precision@0.7
0.173
Precision@0.8
0.014
Precision@0.9
0.000
AP
0.233
IoU overall
0.541
IoU mean
0.542
Actor and Action Video Segmentation from a Sentence
2018-03-20
코드 1
Hu et al.
Precision@0.5
0.633
Precision@0.6
0.350
Precision@0.7
0.085
Precision@0.8
0.002
Precision@0.9
0.000
AP
0.178
IoU overall
0.546
IoU mean
0.528
Segmentation from Natural Language Expressions
2016-03-20
코드 1 · 코드 2 · 코드 3 · 코드 4
Li et al.
Precision@0.5
0.578
Precision@0.6
0.335
Precision@0.7
0.103
Precision@0.8
0.060
Precision@0.9
0.000
AP
0.173
IoU overall
0.529
IoU mean
0.491
Tracking by Natural Language Specification
2017-07-01
연결 없음
HINet
Precision@0.5
0.819
Precision@0.6
0.736
Precision@0.7
0.542
Precision@0.8
0.168
Precision@0.9
0.4
IoU overall
0.652
IoU mean
0.627
Hierarchical interaction network for video object segmentation from referring expressions
2021-11-22
연결 없음
ClawCraneNet
Precision@0.5
0.880
Precision@0.6
0.796
Precision@0.7
0.566
Precision@0.8
0.147
Precision@0.9
0.002
IoU overall
0.644
IoU mean
0.655
ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation
2021-03-19
연결 없음
CMSA+CFSA
Precision@0.5
0.764
Precision@0.6
0.625
Precision@0.7
0.389
Precision@0.8
0.09
Precision@0.9
0.001
IoU overall
0.628
IoU mean
0.581
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network
2021-02-09
연결 없음
RefVOS
Precision@0.5
0.731
Precision@0.6
0.62
Precision@0.7
0.392
Precision@0.8
0.088
Precision@0.9
0.0
IoU overall
0.606
IoU mean
0.568
Hierarchical interaction network for video object segmentation from referring expressions
2021-11-22
연결 없음