Action Classification
227 papers with code • 24 benchmarks • 30 datasets
Image source: The Kinetics Human Action Video Dataset
Benchmarks
These leaderboards are used to track progress in Action Classification
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Libraries
Use these libraries to find Action Classification models and implementationsDatasets
UCF101
Kinetics
HMDB51
ActivityNet
Kinetics 400
Charades
THUMOS14
Something-Something V2
YouCook2
Kinetics-600
Most implemented papers
ECO: Efficient Convolutional Network for Online Video Understanding
mzolfaghari/ECO-efficient-video-understanding
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ECCV 2018
In this paper, we introduce a network architecture that takes long-term content into account and enables fast per-video processing at the same time.
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
rwightman/pytorch-image-models
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CVPR 2023
We launch EVA, a vision-centric foundation model to explore the limits of visual representation at scale using only publicly accessible data.
Temporal Relational Reasoning in Videos
metalbubble/TRN-pytorch
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ECCV 2018
Temporal relational reasoning, the ability to link meaningful transformations of objects or entities over time, is a fundamental property of intelligent species.
Representation Flow for Action Recognition
piergiaj/representation-flow-cvpr19
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CVPR 2019
Our representation flow layer is a fully-differentiable layer designed to capture the `flow' of any representation channel within a convolutional neural network for action recognition.
Revisiting 3D ResNets for Video Recognition
A recent work from Bello shows that training and scaling strategies may be more significant than model architectures for visual recognition.
Masked Feature Prediction for Self-Supervised Visual Pre-Training
facebookresearch/SlowFast
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CVPR 2022
We present Masked Feature Prediction (MaskFeat) for self-supervised pre-training of video models.
CoCa: Contrastive Captioners are Image-Text Foundation Models
We apply a contrastive loss between unimodal image and text embeddings, in addition to a captioning loss on the multimodal decoder outputs which predicts text tokens autoregressively.
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
whwu95/text4vis
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In this study, we focus on transferring knowledge for video classification tasks.
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
whwu95/BIKE
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CVPR 2023
In this paper, we propose a novel framework called BIKE, which utilizes the cross-modal bridge to explore bidirectional knowledge: i) We introduce the Video Attribute Association mechanism, which leverages the Video-to-Text knowledge to generate textual auxiliary attributes for complementing video recognition.
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition
chihyaoma/Activity-Recognition-with-CNN-and-RNN
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We demonstrate that using both RNNs (using LSTMs) and Temporal-ConvNets on spatiotemporal feature matrices are able to exploit spatiotemporal dynamics to improve the overall performance.
