Stars
A PyTorch implementation of ACRNet based on ICME 2023 paper "Weakly-supervised Temporal Action Localization with Adaptive Clustering and Refining Network"
[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
Locally Consistent Deformable Convolution as part of deformable flow
(CVPR2022) ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
[WACV 2023] Temporal Feature Enhancement Dilated Convolution Network for Weakly-supervised Temporal Action Localization
A curated publication list on weakly-supervised temporal action localization
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A fullstack chat webapp based on ChatGPT/BingAI/AndMore...
Code for our paper "Weakly-Supervised Action Localization by Generative Attention Modeling" (CVPR2020)
Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20 Spotlight)
The official repository of our paper "ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization".
Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
[CVPR2021] CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Code for I3D Feature Extraction
Sequence modeling benchmarks and temporal convolutional networks
End-to-End Object Detection with Transformers
Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))
本仓库我将使用谷歌TensorFlow2框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较经典的目标检测网络、语义分割网络等。
Convolutional neural network model for video classification trained on the Kinetics dataset.
Models and examples built with TensorFlow