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아카이브 평가 28건 · 마지막 적재/변경 2026-10-30

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
모델	원본 지표·값	논문	구현
Br-Prompt+ASPnet (RGB, flow, accelerometer)	F1@10% 92.7 Edit 87.5 Acc 91.4 F1@25% 91.6 F1@50% 88.5	ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources 2023-01-01	연결 없음
Semantic2Graph	F1@10% 91.5 Edit 89.1 Acc 88.6 F1@25% 90.2 F1@50% 87.3	Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in Videos 2022-09-13	연결 없음
BaFormer	F1@10% 89.3 Edit 84.2 Acc 89.5 F1@25% 88.4 F1@50% 83.9	Efficient Temporal Action Segmentation via Boundary-aware Query Voting 2024-05-25	코드 1
DiffAct	F1@10% 90.1 Edit 85.0 Acc 88.9 F1@25% 89.2 F1@50% 83.7	Diffusion Action Segmentation 2023-03-31	코드 1
SF-TMN(ASFormer)	F1@10% 89.1 Edit 84.4 Acc 89.8 F1@25% 88.0 F1@50% 82.9	SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition 2023-06-15	연결 없음
LTContext	F1@10% 89.4 Edit 83.2 Acc 87.7 F1@25% 87.7 F1@50% 82.0	How Much Temporal Long-Term Context is Needed for Action Segmentation? 2023-08-22	코드 1
UVAST	F1@10% 89.1 Edit 83.9 Acc 87.4 F1@25% 87.6 F1@50% 81.7	Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation 2022-09-01	코드 1 · 코드 2
Br-Prompt+ASFormer	F1@10% 89.2 Edit 83.8 Acc 88.1 F1@25% 87.8 F1@50% 81.3	Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos 2022-03-26	코드 1
EUT	F1@10% 89.2 Edit 82.9 Acc 87.4 F1@25% 87.5 F1@50% 81	Do we really need temporal convolutions in action segmentation? 2022-05-26	코드 1
CETNet	F1@10% 87.6 Edit 81.7 Acc 86.9 F1@25% 86.5 F1@50% 80.1	Cross-Enhancement Transformer for Action Segmentation 2022-05-19	코드 1
DPRN	F1@10% 87.8 Edit 82.0 Acc 87.2 F1@25% 86.3 F1@50% 79.4	Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction 2022-05-02	연결 없음
ASFormer+ASRF	F1@10% 85.1 Edit 81.9 Acc 85.9 F1@25% 85.4 F1@50% 79.3	ASFormer: Transformer for Action Segmentation 2021-10-16	코드 1
ASRF + HASR	F1@10% 86.6 Edit 81.0 Acc 83.9 F1@25% 85.7 F1@50% 78.5	Refining Action Segmentation With Hierarchical Video Representations 2021-01-01	코드 1
ASRF	F1@10% 84.9 Edit 79.3 Acc 84.5 F1@25% 83.5 F1@50% 77.3	Alleviating Over-segmentation Errors by Detecting Action Boundaries 2020-07-14	코드 1
ASFormer	F1@10% 85.1 Edit 79.6 Acc 85.6 F1@25% 83.4 F1@50% 76.0	ASFormer: Transformer for Action Segmentation 2021-10-16	코드 1
ETSN	F1@10% 85.2 Edit 78.8 Acc 82.0 F1@25% 83.9 F1@50% 75.4	Efficient Two-Step Networks for Temporal Action Segmentation 2021-04-30	코드 1
BCN	F1@10% 82.3 Edit 74.3 Acc 84.4 F1@25% 81.3 F1@50% 74	Boundary-Aware Cascade Networks for Temporal Action Segmentation 논문 날짜 미기재	코드 1
SSTDA	F1@10% 83.0 Edit 75.8 Acc 83.2 F1@25% 81.5 F1@50% 73.8	Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation 2020-03-05	코드 1
C2F-TCN	F1@10% 84.3 Edit 76.4 Acc 84.9 F1@25% 81.8 F1@50% 72.6	Coarse to Fine Multi-Resolution Temporal Convolutional Network 2021-05-23	코드 1
DA	F1@10% 82.0 Edit 75.2 Acc 83.2 F1@25% 80.1 F1@50% 72.5	Action Segmentation with Mixed Temporal Domain Adaptation 2021-04-15	연결 없음
MS-TCN++	F1@10% 80.7 Edit 74.3 Acc 83.7 F1@25% 78.5 F1@50% 70.1	MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation 2020-06-16	코드 1
G2L (MS-TCN)	F1@10% 80.3 Edit 73.4 Acc 82.2 F1@25% 78 F1@50% 69.8	Global2Local: Efficient Structure Search for Video Action Segmentation 2021-01-04	코드 1 · 코드 2
MS-TCN++(sh)	F1@10% 78.7 Edit 70.7 Acc 82.2 F1@25% 76.6 F1@50% 68.3	MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation 2020-06-16	코드 1
AUL	F1@10% 84.4 Edit 77.0 Acc 77.9 F1@25% 81.3 F1@50% 67.1	Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union Learning 2023-10-22	코드 1
DTGRM	F1@10% 79.1 Edit 72 Acc 80 F1@25% 75.9 F1@50% 66.1	Temporal Relational Modeling with Self-Supervision for Action Segmentation 2020-12-14	코드 1
DS-TCN	F1@10% 77.0 Edit 70.0 Acc 80.0 F1@25% 74.43 F1@50% 65.78	Depthwise Separable Temporal Convolutional Network for Action Segmentation 2021-01-19	연결 없음
MS-TCN	F1@10% 76.3 Edit 67.9 Acc 80.7 F1@25% 74.0 F1@50% 64.5	MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation 2019-03-05	코드 1 · 코드 2
TW-FINCH (K=avg/activity)	Acc 66.5	Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation 2021-03-20	코드 1