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Deep Learning Temporal Action Detection

Last updated: 2019/9/25

Performance Table

Detector	THUMOS (mAP@IoU=0.5)	ANET (mAP@IoU=0.5)	Speed	Published In
LAF	4.4	-		ACMMM'15
RNN & RL	17.1	-		CVPR'16
PSDF	18.8	-		CVPR'16
SSAD	24.6	-		CVPR'16
SCNN	19.0	-		CVPR'16
SCNNv2	19.0	-		WACV'16
CBR	31.0	-		BMVC'17
SMS	14.8	-		CVPR'17
UntrimmedNets	13.7	7.2		CVPR'17
TCN	25.6	23.6		ICCV'17
ETE SSTAD	29.2	-		BMVC'17
CDC	23.3	22.9	500	ICCV'17
SMS	17.8	-		CVPR'17
SCC	19.3	-		CVPR'17
TAG	28.3	-		CVPR'17
SST	19.3	-		CVPR'17
SSTAD	24.6	-		ACMMM'17
TURN-TAP	25.6	-	880	ICCV'17
R-C3D	28.9	16.7		ICCV'17
TAG+SSN	29.1	28.3		ICCV'17
ETP	34.2	-		CVPR'18
TAL-Net	42.0	38.2		CVPR'18
STPN	16.9	29.3		CVPR'18
TPN	27.6	-		AAAI'18
SAP	27.7	-		AAAI'18
WSTAD	15.9	27.3		ACMMM'18
BSN	36.9	-		ECCV'18
AutoLoc	21.2	27.3		ECCV'18
W-TALC	22.8	37.0		ECCV'18
CPMN	16.1	39.3		ACMMM'18
STAR	23.0	31.1		AAAI'19
BMN	38.8	39.4		ICCV'19
MGG	39.9	-		ICCV'19

[THUMOS] THUMOS Challenge 2014 |[Homepage]
[Activity-Net] A Large-Scale Video Benchmark for Human Activity Understanding |[Homepage]
[COIN] A Large-scale Dataset for Comprehensive Instructional Video Analysis |[Homepage]

[LAF] Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images | [ACMMM'15] |[pdf]

[RNN & RL] End-to-end learning of action detection from frame glimpses in videos | [CVPR'16] |[pdf]
[PSDF] Temporal Action Localization with Pyramid of Score Distribution Features | [CVPR'16] |[pdf]
[SCNN] Temporal action localization in untrimmed videos via multi-stage CNNs | [CVPR'16] |[pdf]
[SCNNv2] Efficient Action Detection in Untrimmed Videos via Multi-Task Learning | [WACV'16] |[pdf]

[SSAD] Single Shot Temporal Action Detection | [ACMMM'17] |[pdf]
[CBR] Cascaded Boundary Regression for Temporal Action Detection | [BMVC'17] |[pdf]
[SMS] Temporal Action Localization by Structured Maximal Sums | [CVPR'17] |[pdf]
[UntrimmedNets] UntrimmedNets for Weakly Supervised Action Recognition and Detection | [CVPR'17] |[pdf]
[TCN] Temporal Context Network for Activity Localization in Videos | [ICCV'17] |[pdf]
[SCC] Semantic Context Cascade for Efficient Action Detection | [CVPR'17] |[pdf]
[SSTAD] Single Shot Temporal Action Detection | [ACMMM'17] |[pdf]
[ETE SSTAD] End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos | [BMVC'17] |[pdf]
[SST] Single-stream temporal action proposals | [CVPR'17] |[pdf]
[TURN-TAP] Temporal Unit Regression Network for Temporal Action Proposals | [ICCV'17] |[pdf]
[Hide-and-Seek] Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization | [ICCV'17] |[pdf]
[TAG] A Pursuit of Temporal Accuracy in General Activity Detection | [CVPR'17] |[pdf]

[ETP] Precise Temporal Action Localization by Evolving Temporal Proposals | [CVPR'18] |[pdf]
[TAL-Net] Rethinking the Faster R-CNN Architecture for Temporal Action Localization | [CVPR'18] |[pdf]
[STPN] Weakly Supervised Action Localization by Sparse Temporal Pooling Network| [CVPR'18] |[pdf]
[TPN] Exploring Temporal Preservation Networks for Precise Temporal Action Localization | [AAAI'18] |[pdf]
[SAP] A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning | [AAAI'18] |[pdf]
[WSTAD] Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector | [ACMMM'18] |[pdf]
[BSN] Boundary Sensitive Network for Temporal Action Proposal Generation | [ECCV'18] |[pdf]
[AutoLoc] AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos | [ECCV'18] |[pdf]
[W-TALC] W-TALC: Weakly-supervised Temporal Activity Localization and Classification | [ECCV'18] |[pdf]
[CPMN] Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization | [ACCV'18] |[pdf]

[STAR] Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection | [AAAI'19] |[pdf]
[BMN] BMN: Boundary-Matching Network for Temporal Action Proposal Generation | [ICCV'19] |[pdf]
[MGG] Multi-granularity Generator for Temporal Action Proposal | [CVPR'19] |[pdf]