Pilhyeon/Awesome-Weakly-Supervised-Temporal-Action-Localization: A curated publi ...

原作者: [db:作者] 来自: 网络收藏邀请

开源软件名称（OpenSource Name）：

Pilhyeon/Awesome-Weakly-Supervised-Temporal-Action-Localization

开源软件地址(OpenSource Url)：

https://github.com/Pilhyeon/Awesome-Weakly-Supervised-Temporal-Action-Localization

开源编程语言(OpenSource Language)：

开源软件介绍(OpenSource Introduction)：

Awesome Weakly-supervised Temporal Action Localization

A curated publication list on weakly-supervised temporal action localization.

This repository was built to facilitate navigating the mainstream on weakly-supervised temporal action localization.
Please note that only accepted papers (for reliability) by conferences (for brevity) are contained here.

Last updated: 2022/8/15 (ECCV'22 added)

Performance Tables
Paper List
Feedback

Performance Tables

The mean average precisions (mAPs) under the standard intersection over union (IoU) thresholds are reported. For example, '@0.5' indicates the mAP score at the IoU threshold of 0.5.
The AVG denotes the average mAP under the IoU thresholds from 0.1 to 0.7 (for THUMOS14), from 0.1 to 0.5 (for FineGym), or from 0.5 to 0.95 with a step size of 0.05 (for ActivityNet both versions and FineAction).

In addition, links to the implementations are attached with their framework specification if available. 'o-' and 'u-' indicate the official and the unofficial implementations, respectively.

[Note]
*: use of additional trimmed videos
†: use of additional information such as action count, pose, and audio

THUMOS14

ID	Year	Venue	Model (or Authors)	@0.1	@0.2	@0.3	@0.4	@0.5	@0.6	@0.7	AVG	code
1	2017	CVPR	UntrimmedNets	44.4	37.7	28.2	21.1	13.7	-	-	-	`[o-matlab]`
2	2017	ICCV	Hide-and-seek	36.4	27.8	19.5	12.7	6.8	-	-	-	`[o-torch]`
3	2018	CVPR	STPN	52.0	44.7	35.5	25.8	16.9	9.9	4.3	27.0	`[u-tensorflow]`
4	2018	ECCV	AutoLoc	-	-	35.8	29.0	21.2	13.4	5.8	-	`[o-caffe]`
5	2018	ECCV	W-TALC	55.2	49.6	40.1	31.1	22.8	-	7.6	-	`[o-pytorch]` `[o-tensorflow]`
6	2018	MM	Zhong et al.	45.8	39.0	31.1	22.5	15.9	-	-	-
7	2019	AAAI	TSRNet*	55.9	46.9	38.3	28.1	18.6	11.0	5.6	29.2
8	2019	AAAI	STAR†	68.8	60.0	48.7	34.7	23.0	-	-	-
9	2019	ICLR	MAAN	59.8	50.8	41.1	30.6	20.3	12.0	6.9	31.6	`[o-pytorch]`
10	2019	CVPR	Liu et al.	57.4	50.8	41.2	32.1	23.1	15.0	7.0	32.4	`[o-pytorch]`
11	2019	ICIP	Park et al.	-	-	40.2	32.2	21.7	-	9.2	-
12	2019	ICIP	ACN	-	-	35.9	30.7	24.2	15.7	7.4	-
13	2019	MM	ASSG	65.6	59.4	50.4	38.7	25.4	15.0	6.6	37.3
14	2019	ICCV	CleanNet	-	-	37.0	30.9	23.9	13.9	7.1	-
15	2019	ICCV	TSM	-	-	39.5	-	24.5	-	7.1	-
16	2019	ICCV	3C-Net†	59.1	53.5	44.2	34.1	26.6	-	8.1	-	`[o-pytorch]`
17	2019	ICCV	Nguyen et al.	60.4	56.0	46.6	37.5	26.8	17.6	9.0	36.3
18	2020	AAAI	PreTrimNet†	57.5	50.7	41.4	32.1	23.1	14.2	7.7	32.4
19	2020	AAAI	BaS-Net	58.2	52.3	44.6	36.0	27.0	18.6	10.4	35.3	`[o-pytorch]`
20	2020	AAAI	RPN	62.3	57.0	48.2	37.2	27.9	16.7	8.1	36.8
21	2020	WACV	WSGN	57.9	51.2	42.0	33.1	25.1	16.7	8.9	33.6
22	2020	WACV	Islam and Radke	62.3	-	46.8	-	29.6	-	9.7	-	`[o-pytorch]`
23	2020	WACV	Rashid et al.	63.7	56.9	47.3	36.4	26.1	-	-	-	`[o-pytorch]`
24	2020	CVPR	ActionBytes	-	-	43.0	35.8	29.0	-	9.5	-
25	2020	CVPR	DGAM	60.0	54.2	46.8	38.2	28.8	19.8	11.4	37.0	`[o-pytorch]`
26	2020	CVPR	Gong et al.	-	-	46.9	38.9	30.1	19.8	10.4	-	`[o-pytorch]`
27	2020	ECCV	EM-MIL	59.1	52.7	45.5	36.8	30.5	22.7	16.4	37.7	`[o-pytorch]`
28	2020	ECCV	A2CL-PT	61.2	56.1	48.1	39.0	30.1	19.2	10.6	37.8	`[o-pytorch]`
29	2020	ECCV	TSCN	63.4	57.6	47.8	37.7	28.7	19.4	10.2	37.8
30	2020	MM	ACM-BANet	64.6	57.7	48.9	40.9	32.3	21.9	13.5	40.0
31	2021	WACV	RefineLoc	-	-	40.8	32.7	23.1	13.3	5.3	-	`[o-pytorch]`
32	2021	AAAI	Liu et al.	-	-	50.8	41.7	29.6	20.1	10.7	-
33	2021	AAAI	ACSNet	-	-	51.4	42.7	32.4	22.0	11.7	-
34	2021	AAAI	HAM-Net	65.9	59.6	52.2	43.1	32.6	21.9	12.5	41.1	`[o-pytorch]`
35	2021	AAAI	Lee et al.	67.5	61.2	52.3	43.4	33.7	22.9	12.1	41.9	`[o-pytorch]`
37	2021	CVPR	ASL	67.0	-	51.8	-	31.1	-	11.4	-	`[o-pytorch]`
38	2021	CVPR	CoLA	66.2	59.5	51.5	41.9	32.2	22.0	13.1	40.9	`[o-pytorch]`
39	2021	CVPR	AUMN	66.2	61.9	54.9	44.4	33.3	20.5	9.0	41.5
40	2021	CVPR	TS-PCA	67.6	61.1	53.4	43.4	34.3	24.7	13.7	42.6
41	2021	CVPR	UGCT	69.2	62.9	55.5	46.5	35.9	23.8	11.4	43.6
42	2021	ICCV	D2-Net	65.7	60.2	52.3	43.4	36.0	-	-	-	`[o-pytorch]`
43	2021	ICCV	FAC-Net	67.6	62.1	52.6	44.3	33.4	22.5	12.7	42.2	`[o-pytorch]`
44	2021	MM	CSCL	68.0	61.8	52.7	43.3	33.4	21.8	12.3	41.9
45	2021	MM	CO₂-Net	70.1	63.6	54.5	45.7	38.3	26.4	13.4	44.6	`[o-pytorch]`
46	2022	AAAI	ACGNet	68.1	62.6	53.1	44.6	34.7	22.6	12.0	42.5
47	2022	CVPR	FTCL	69.6	63.4	55.2	45.2	35.6	23.7	12.2	43.6	`[o-pytorch]`
48	2022	CVPR	DCC	69.0	63.8	55.9	45.9	35.7	24.3	13.7	44.0
49	2022	CVPR	Huang et al.	71.3	65.3	55.8	47.5	38.2	25.4	12.5	45.1	`[o-pytorch]`
50	2022	CVPR	ASM-Loc	71.2	65.5	57.1	46.8	36.6	25.2	13.4	45.1	`[o-pytorch]`

ActivityNet1.2

ID	Year	Venue	Model (or Authors)	@0.5	@0.75	@0.95	AVG	code
4	2018	ECCV	AutoLoc	27.3	15.1	3.3	16.0	`[o-caffe]`
5	2018	ECCV	W-TALC	37.0	-	-	18.0	`[o-pytorch]` `[o-tensorflow]`
6	2018	MM	Zhong et al.	27.3	14.7	2.9	15.6
10	2019	CVPR	Liu et al.	36.8	22.0	5.6	22.4	`[o-pytorch]`
11	2019	ICIP	Park et al.	33.7	-	-	-
12	2019	ICIP	ACN	30.4	15.4	3.7	17.0
14	2019	ICCV	CleanNet	37.1	20.3	5.0	21.6
15	2019	ICCV	TSM	28.3	17.0	3.5	17.1
16	2019	ICCV	3C-Net†	37.2	-	-	21.7	`[o-pytorch]`
19	2020	AAAI	BaS-Net	38.5	24.2	5.6	24.3	`[o-pytorch]`
20	2020	AAAI	RPN	37.6	23.9	5.4	23.3
22	2020	WACV	Islam and Radke	35.2	-	-	-	`[o-pytorch]`
23	2020	WACV	Rashid et al.	29.4	-	-	-	`[o-pytorch]`
24	2020	CVPR	ActionBytes	39.4	-	-	-
25	2020	CVPR	DGAM	41.0	23.5	5.3	24.4	`[o-pytorch]`
26	2020	CVPR	Gong et al.	40.0	25.0	4.6	24.6	`[o-pytorch]`
27	2020	ECCV	EM-MIL	37.4	-	-	20.3	`[o-pytorch]`
29	2020	ECCV	TSCN	37.6	23.7	5.7	23.6
31	2021	WACV	RefineLoc	38.7	22.6	5.5	23.2	`[o-pytorch]`
32	2021	AAAI	Liu et al.	39.2	25.6	6.8	25.5
33	2021	AAAI	ACSNet	40.1	26.1	6.8	26.0
34	2021	AAAI	HAM-Net	41.0	24.8	5.3	25.1	`[o-pytorch]`
35	2021	AAAI	Lee et al.	41.2	25.6	6.0	25.9	`[o-pytorch]`
36	2021	ICLR	Lee et al.†	44.8	26.7	1.0	26.0
37	2021	CVPR	ASL	40.2	-	-	25.8	`[o-pytorch]`
38	2021	CVPR	CoLA	42.7	25.7	5.8	26.1	`[o-pytorch]`
39	2021	CVPR	AUMN	42.0	25.0	5.6	25.5
41	2021	CVPR	UGCT	41.8	25.3	5.9	25.8
42	2021	ICCV	D2-Net	42.3	25.5	5.8	26.0	`[o-pytorch]`
44	2021	MM	CSCL	43.8	26.9	5.6	26.9
45	2021	MM	CO₂-Net	43.3	26.3	5.2	26.4	`[o-pytorch]`
46	2022	AAAI	ACGNet	41.8	26.0	5.9	26.1

ActivityNet1.3

ID	Year	Venue	Model (or Authors)	@0.5	@0.75	@0.95	AVG	code
3	2018	CVPR	STPN	29.3	16.9	2.6	-	`[u-tensorflow]`
7	2019	AAAI	TSRNet*	33.1	18.7	3.3	21.8
8	2019	AAAI	STAR†	31.1	18.8	4.7	-
9	2019	ICLR	MAAN	33.7	21.9	5.5	-	`[o-pytorch]`
10	2019	CVPR	Liu et al.	34.0	20.9	5.7	21.2	`[o-pytorch]`
13	2019	MM	ASSG	32.3	20.1	4.0	-
15	2019	ICCV	TSM	30.3	19.0	4.5	-
17	2019	ICCV	Nguyen et al.	36.4	19.2	2.9	-
18	2020	AAAI	PreTrimNet†	34.8	20.9	5.3	22.5
19	2020	AAAI	BaS-Net	34.5	22.5	4.9	22.2	`[o-pytorch]`
28	2020	ECCV	A2CL-PT	36.8	22.0	5.2	22.5	`[o-pytorch]`
29	2020	ECCV	TSCN	35.3	21.4	5.3	21.7
30	2020	MM	ACM-BANet	37.6	24.7	6.5	24.4
32	2021	AAAI	Liu et al.	35.1	23.7	5.6	23.2
33	2021	AAAI	ACSNet	36.3	24.2	5.8	23.9
35	2021	AAAI	Lee et al.	37.0	23.9	5.7	23.7	`[o-pytorch]`
39	2021	CVPR	AUMN	38.3	23.5	5.2	23.5
40	2021	CVPR	TS-PCA	37.4	23.5	5.9	23.7
41	2021	CVPR	UGCT	39.1	22.4	5.8	23.8
43	2021	ICCV	FAC-Net	37.6	24.2	6.0	24.0	`[o-pytorch]`
47	2022	CVPR	FTCL	40.0	24.3	6.4	24.8	`[o-pytorch]`
48	2022	CVPR	DCC	38.8	24.2	5.7	24.3
49	2022	CVPR	Huang et al.	40.6	24.6	5.9	25.0	`[o-pytorch]`
50	2022	CVPR	ASM-Loc	41.0	24.9	6.2	25.1	`[o-pytorch]`

FineAction

ID	Year	Venue	Model (or Authors)	@0.5	@0.75	@0.95	AVG	code
5	2018	ECCV	W-TALC (Reprod.)	6.18	3.15	0.83	3.45	`[o-pytorch]` `[o-tensorflow]`
35	2021	AAAI	Lee et al. (Reprod.)	6.65	3.23	0.95	3.64	`[o-pytorch]`
37	2021	CVPR	ASL (Reprod.)	6.79	2.68	0.81	3.30	`[o-pytorch]`
42	2021	ICCV	D2-Net (Reprod.)	6.75	3.02	0.82	3.35	`[o-pytorch]`
51	2022	ECCV	HAAN	7.05	3.95	1.14	4.10	`[o-pytorch]`

FineGym

ID	Year	Venue	Model (or Authors)	@0.1	@0.2	@0.3	@0.4	@0.5	AVG	code
5	2018	ECCV	W-TALC (Reprod.)	8.85	7.32	6.24	4.95	3.15	6.03	`[o-pytorch]` `[o-tensorflow]`
35	2021	AAAI	Lee et al. (Reprod.)	9.45	8.63	5.10	4.34	3.05	6.11	`[o-pytorch]`
37	2021	CVPR	ASL (Reprod.)	9.33	7.92	5.45	3.67	2.24	5.74	`[o-pytorch]`
42	2021	ICCV	D2-Net (Reprod.)	9.46	8.67	5.21	4.22	2.65	6.04	`[o-pytorch]`
51	2022	ECCV	HAAN	10.79	9.62	7.65	6.16	4.16	7.67	`[o-pytorch]`

Paper List

[UntrimmedNets] | CVPR'17 | UntrimmedNets for Weakly Supervised Action Recognition and Detection | [pdf] | [o-matlab]
[Hide-and-seek] | ICCV'17 | Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization | [pdf] | [o-torch]
[STPN] | CVPR'18 | Weakly Supervised Action Localization by Sparse Temporal Pooling Network | [pdf] | [u-tensorflow]
[AutoLoc] | ECCV'18 | AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos | [pdf] | [o-caffe]
[W-TALC] | ECCV'18 | W-TALC: Weakly-supervised Temporal Activity Localization and Classification | [pdf] | [o-pytorch] | [o-tensorflow]
[Zhong et al.] | MM'18 | Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector | [pdf]
[TSR-Net*] | AAAI'19 | Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision | [pdf]
[STAR†] | AAAI'19 | Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection | [pdf]
[MAAN] | ICLR'19 | Marginalized Average Attentional Network for Weakly-Supervised Learning | [pdf]
[Liu et al.] | CVPR'19 | Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization | [pdf] | [o-pytorch]
[Park et al.] | ICIP'19 | Graph Regularization Network with Semantic Affinity for Weakly-Supervised Temporal Action Localization | [pdf]
[ACN] | ICIP'19 | Action Coherence Network for Weakly Supervised Temporal Action Localization | [pdf]
[ASSG] | MM'19 | Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization | [pdf]
[CleanNet] | ICCV'19 | Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks | [pdf]
[TSM] | ICCV'19 | Temporal Structure Mining for Weakly Supervised Action Detection | [pdf]
[3C-Net†] | ICCV'19 | 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization | [pdf] | [o-pytorch]
[Nguyen et al.] | ICCV'19 | Weakly-supervised Action Localization with Background Modeling | [pdf]
[PreTrimNet†] | AAAI'20 | Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos | [pdf]
[BaS-Net] | AAAI'20 | Background Suppression Network for Weakly-supervised Temporal Action Localization | [pdf] | [o-pytorch]
[RPN] | AAAI'20 | Relational Prototypical Network for Weakly Supervised Temporal Action Localization | [pdf]
[WSGN] | WACV'20 | Weakly Supervised Gaussian Networks for Action Detection | [pdf]
[Islam and Radke] | WACV'20 | Weakly Supervised Temporal Action Localization Using Deep Metric Learning | [pdf] | [o-pytorch]
[Rashid et al.] | WACV'20 | Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks | [pdf] | [o-pytorch]
[ActionBytes] | CVPR'20 | ActionBytes: Learning from Trimmed Videos to Localize Actions | [pdf]
[DGAM] | CVPR'20 | Weakly-Supervised Action Localization by Generative Attention Modeling | [pdf] | [o-pytorch]
[Gong et al.] | CVPR'20 | Learning Temporal Co-Attention Models for Unsupervised Video Action Localization | [pdf] | [o-pytorch]
[EM-MIL] | ECCV'20 | Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning | [pdf] | [o-pytorch]
[A2CL-PT] | ECCV'20 | Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization | [pdf] | [o-pytorch]
[TSCN] | ECCV'20 | Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization | [pdf]
[ACM-BANet] | MM'20 | Action Completeness Modeling with Background Aware Networks for Weakly-Supervised Temporal Action Localization | [pdf]
[RefineLoc] | WACV'21 | RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization | [pdf] | [o-pytorch]
[Liu et al.] | AAAI'21 | Weakly Supervised Temporal Action Localizatio

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Pilhyeon/Awesome-Weakly-Supervised-Temporal-Action-Localization: A curated publi ...

开源软件名称（OpenSource Name）：

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Awesome Weakly-supervised Temporal Action Localization

Table of Contents

Performance Tables

THUMOS14

ActivityNet1.2

ActivityNet1.3

FineAction

FineGym

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