Activity Recognition In Videos
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Benchmarks
DogCentric
Most implemented
Very Deep Convolutional Networks for Large-Scale Image Recognition
Representation Flow for Action Recognition
Large-scale weakly-supervised pre-training for video action recognition
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
Dual-path Adaptation from Image to Video Transformers
TorMentor: Deterministic dynamic-path, data augmentations with fractals
Papers
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
Human action or activity recognition in videos is a fundamental task in computer vision with applications in surveillance and monitoring, self-driving cars, sports analytics, human-robot interaction and many more. Tradit…
Action RecognitionAction Recognition In VideosActivity RecognitionActivity Recognition In Videos+4Dual-path Adaptation from Image to Video Transformers
In this paper, we efficiently transfer the surpassing representation power of the vision foundation models, such as ViT and Swin, for video understanding with only a few trainable parameters. Previous adaptation methods …
Action ClassificationAction RecognitionAction Recognition In VideosActivity Recognition+2Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition
We present a learning algorithm for human activity recognition in videos. Our approach is designed for UAV videos, which are mainly acquired from obliquely placed dynamic cameras that contain a human actor along with bac…
Action RecognitionActivity RecognitionActivity Recognition In VideosDisentanglement+2ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos
Human activity recognition is an emerging and important area in computer vision which seeks to determine the activity an individual or group of individuals are performing. The applications of this field ranges from gener…
Activity RecognitionActivity Recognition In VideosGesture RecognitionHuman Activity RecognitionTorMentor: Deterministic dynamic-path, data augmentations with fractals
We propose the use of fractals as a means of efficient data augmentation. Specifically, we employ plasma fractals for adapting global image augmentation transformations into continuous local transforms. We formulate the …
Activity Recognition In VideosBinarizationData AugmentationGPU+6Long Term Object Detection and Tracking in Collaborative Learning Environments
Human activity recognition in videos is a challenging problem that has drawn a lot of interest, particularly when the goal requires the analysis of a large video database. AOLME project provides a collaborative learning …
Activity RecognitionActivity Recognition In VideosData AugmentationHand Detection+3