[ { "Accuracy (CS)": 94.3, "Accuracy (CV)": 97.2, "code_links": [], "date": "2018-12-14", "date2": 20181214, "model": "Action Machine (RGB only)", "paper": { "title": "Action Machine: Rethinking Action Recognition in Trimmed Videos", "url": "https://cknow.io/lib/77296a7e05481399" }, "paper_data_uoa": "77296a7e05481399" }, { "Accuracy (CS)": 91.99, "code_links": [], "date": "2019-11-20", "date2": 20191120, "model": "MMTM (RGB+Pose)", "paper": { "title": "MMTM: Multimodal Transfer Module for CNN Fusion", "url": "https://cknow.io/lib/ff47cfb83bf816d2" }, "paper_data_uoa": "ff47cfb83bf816d2" }, { "Accuracy (CS)": 91.7, "Accuracy (CV)": 95.2, "code_links": [], "date": "2018-06-01", "date2": 20180601, "model": "PoseMap (RGB+Pose)", "paper": { "title": "Recognizing Human Actions as the Evolution of Pose Estimation Maps", "url": "https://cknow.io/lib/332344dd8410a27b" }, "paper_data_uoa": "332344dd8410a27b" }, { "Accuracy (CS)": 91.6, "Accuracy (CV)": 94.5, "code_links": [ { "title": "adeboissiere/FUSION-human-action-recognition", "url": "https://github.com/adeboissiere/FUSION-human-action-recognition" } ], "date": "2020-02-28", "date2": 20200228, "model": "FUSION (IR+Pose)", "paper": { "title": "Infrared and 3D skeleton feature fusion for RGB-D action recognition", "url": "https://cknow.io/lib/99496933ed3ae694" }, "paper_data_uoa": "99496933ed3ae694" }, { "Accuracy (CS)": 90.04, "code_links": [ { "title": "juanmanpr/mfas", "url": "https://github.com/juanmanpr/mfas" } ], "date": "2019-06-01", "date2": 20190601, "model": "MFAS (RGB+Pose)", "paper": { "title": "MFAS: Multimodal Fusion Architecture Search", "url": "https://cknow.io/lib/d07648449e30096a" }, "paper_data_uoa": "d07648449e30096a" }, { "Accuracy (CS)": 87.5, "Accuracy (CV)": 93.2, "code_links": [ { "title": "kalpitthakkar/pb-gcn", "url": "https://github.com/kalpitthakkar/pb-gcn" } ], "date": "2018-09-13", "date2": 20180913, "model": "PB-GCN (Skeleton only)", "paper": { "title": "Part-based Graph Convolutional Network for Action Recognition", "url": "https://cknow.io/lib/f82497db1f8d8674" }, "paper_data_uoa": "f82497db1f8d8674" }, { "Accuracy (CS)": 86.6, "Accuracy (CV)": 93.2, "code_links": [ { "title": "fabienbaradel/glimpse_clouds", "url": "https://github.com/fabienbaradel/glimpse_clouds" } ], "date": "2018-02-22", "date2": 20180222, "model": "Glimpse Clouds (RGB only)", "paper": { "title": "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", "url": "https://cknow.io/lib/46d4e1581ab4b14d" }, "paper_data_uoa": "46d4e1581ab4b14d" }, { "Accuracy (CS)": 85.5, "code_links": [], "date": "2018-02-26", "date2": 20180226, "model": "2D-3D-Softargmax (RGB only)", "paper": { "title": "2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning", "url": "https://cknow.io/lib/4ea5cf41f48db25a" }, "paper_data_uoa": "4ea5cf41f48db25a" }, { "Accuracy (CS)": 76.5, "Accuracy (CV)": 84.7, "code_links": [ { "title": "carloscaetano/skeleton-images", "url": "https://github.com/carloscaetano/skeleton-images" } ], "date": "2019-07-30", "date2": 20190730, "model": "Skelemotion + Yang et al. (Skeleton only)", "paper": { "title": "SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition", "url": "https://cknow.io/lib/ed9267d6ed0ddd8c" }, "paper_data_uoa": "ed9267d6ed0ddd8c" }, { "Accuracy (CS)": 74.9, "code_links": [], "date": "2016-03-23", "date2": 20160323, "model": "DSSCA-SSLM (RGB only)", "paper": { "title": "Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos", "url": "https://cknow.io/lib/4a7dc4d89ccbb0ca" }, "paper_data_uoa": "4a7dc4d89ccbb0ca" } ]