SOTAVerified

Temporal Action Localization

Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.

Papers

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Showing 251–300 of 1477 papers

TitleStatusHype
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning PotentialCode1
A baseline on continual learning methods for video action recognition—0
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization—0
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo LabelsCode1
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discoveryCode0
PMI Sampler: Patch Similarity Guided Frame Selection for Aerial Action RecognitionCode0
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving VideosCode0
WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity RecognitionCode1
A real-time algorithm for human action recognition in RGB and thermal video—0
Improve Temporal Action Proposals using Hierarchical Context—0
On the Benefits of 3D Pose and Tracking for Human Action RecognitionCode2
Dual Contrastive Prediction for Incomplete Multi-view Representation LearningCode1
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action RecognitionCode1
JCDNet: Joint of Common and Definite phases Network for Weakly Supervised Temporal Action Localization—0
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA DevicesCode0
VideoMAE V2: Scaling Video Masked Autoencoders with Dual MaskingCode2
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding—0
Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling—0
Multi-view knowledge distillation transformer for human action recognition—0
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action RecognitionCode1
Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-FeatureCode0
Multi-modal Prompting for Low-Shot Temporal Action Localization—0
Video Action Recognition with Attentive Semantic Units—0
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline PerformancesCode1
TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action LocalizationCode1
Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization—0
TriDet: Temporal Action Detection with Relative Boundary ModelingCode2
Learning Discriminative Representations for Skeleton Based Action RecognitionCode1
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary GeneratorCode0
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action RecognitionCode0
AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning—0
Texture-Based Input Feature Selection for Action Recognition—0
Multi-scale Motion-Aware Module for Video Action Recognition—0
Table Tennis Stroke Detection and Recognition Using Ball Trajectory Data—0
Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet TransformerCode0
AIM: Adapting Image Models for Efficient Video Action RecognitionCode2
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)—0
Action Capsules: Human Skeleton Action Recognition—0
Temporal Perceiving Video-Language Pre-training—0
CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey—0
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition—0
Ego-Only: Egocentric Action Detection without Exocentric Transferring—0
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition—0
Anchor-free temporal action localization via Progressive Boundary-aware BoostingCode0
Boosting Positive Segments for Weakly-Supervised Audio-Visual Video ParsingCode0
Growing a Brain with Sparsity-Inducing Generation for Continual LearningCode0
ReGen: A good Generative Zero-Shot Video Classifier Should be Rewarded—0
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action LocalizationCode0
Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms—0
Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization—0
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All datasetsTHUMOS14ActivityNet-1.3HACSFineActionMultiTHUMOSCrossTaskEPIC-KITCHENS-100MUSESActivityNet-1.2Ego4D MQ testEgo4D MQ valMEXaction2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AdaTAD (VideoMAEv2-giant)Avg mAP (0.3:0.7)76.9—Unverified
2RDFA-S6 (InternVideo2-6B)Avg mAP (0.3:0.7)74.2—Unverified
3ActionMamba(InternVideo2-6B)Avg mAP (0.3:0.7)72.72—Unverified
4GCMmAP IOU@0.172.5—Unverified
5AGT (Ours)mAP IOU@0.172.1—Unverified
6InternVideo2-6BAvg mAP (0.3:0.7)72—Unverified
7ActionFormer (InternVideo features)Avg mAP (0.3:0.7)71.58—Unverified
8TriDet (VideoMAE v2-g feature)Avg mAP (0.3:0.7)70.1—Unverified
9InternVideo2-1BAvg mAP (0.3:0.7)69.8—Unverified
10ActionFormer (VideoMAE V2-g features)Avg mAP (0.3:0.7)69.6—Unverified
#ModelMetricClaimedVerifiedStatus
1UnLoc-LmAP IOU@0.559.3—Unverified
2RDFA-S6 (InternVideo2-6B)mAP42.9—Unverified
3ActionMamba (InternVideo2-6B)mAP42.02—Unverified
4PRN+BMN (ensemble)mAP42—Unverified
5AdaTAD (VideoMAEv2-giant)mAP41.93—Unverified
6InternVideo2-6BmAP41.2—Unverified
7InternVideo2-1BmAP40.4—Unverified
8UniMD+Sync.mAP39.83—Unverified
9PRN (CSN)mAP39.4—Unverified
10InternVideomAP39—Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)Average-mAP45.8—Unverified
2ActionMamba(InternVideo2-6B)Average-mAP44.56—Unverified
3DyFADet(VideoMAEv2)Average-mAP44.3—Unverified
4InternVideo2-6BAverage-mAP43.3—Unverified
5TriDet (VideoMAEv2)Average-mAP43.1—Unverified
6InternVideo2-1BAverage-mAP42.4—Unverified
7InternVideoAverage-mAP41.55—Unverified
8TriDet (SlowFast)Average-mAP38.6—Unverified
9TriDet (I3D RGB)Average-mAP36.8—Unverified
10TadTr (I3D RGB)Average-mAP32.09—Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)mAP29.6—Unverified
2ActionMamba(InternVideo2-6B)mAP29.04—Unverified
3InternVideo2-6BmAP27.7—Unverified
4DyFADet (VideoMAE v2-g)mAP23.8—Unverified
5VideoMAE V2-gmAP18.24—Unverified
6InternVideomAP17.57—Unverified
7BMN (i3d feaure)mAP9.25—Unverified
8G-TAD (i3d feature)mAP9.06—Unverified
9DBG (i3d feature)mAP6.75—Unverified
#ModelMetricClaimedVerifiedStatus
1TriDet (VideoMAEv2)Average mAP37.5—Unverified
2DualDETR (I3D-rgb)Average mAP32.64—Unverified
3TriDet (I3D-rgb)Average mAP30.7—Unverified
4TemporalMaxerAverage mAP29.9—Unverified
5PointTADAverage mAP23.5—Unverified
6PDANAverage mAP17.3—Unverified
7MS-TCTAverage mAP16.2—Unverified
8MLADAverage mAP14.2—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoCLIPRecall47.3—Unverified
2VLMRecall46.5—Unverified
3TACoRecall42.5—Unverified
4Text-Video EmbeddingRecall33.6—Unverified
5Fully-supervised upper-boundRecall31.6—Unverified
6ZhukovRecall22.4—Unverified
7AlayracRecall13.3—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaTAD (verb, VideoMAE-L)Avg mAP (0.1-0.5)29.3—Unverified
2TriDet (verb)Avg mAP (0.1-0.5)25.4—Unverified
3TemporalMaxer (verb)Avg mAP (0.1-0.5)24.5—Unverified
4ActionFormer (verb)Avg mAP (0.1-0.5)23.5—Unverified
5G-TAD (verb)Avg mAP (0.1-0.5)9.4—Unverified
6BMN (verb)Avg mAP (0.1-0.5)8.4—Unverified
#ModelMetricClaimedVerifiedStatus
1TemporalMaxermAP27.2—Unverified
2MUSESmAP18.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepMetricLearnermAP IOU@0.535.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.76—Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.4—Unverified
#ModelMetricClaimedVerifiedStatus
1S-CNNmAP7.4—Unverified