Skip to content

Latest commit

 

History

History
executable file
·
93 lines (80 loc) · 2.78 KB

README.md

File metadata and controls

executable file
·
93 lines (80 loc) · 2.78 KB
Raw

RSC

A PyTorch implementation of RSC based on MMM 2023 paper Weakly-supervised Temporal Action Localization with Regional Similarity Consistency.

Network Architecture

Usage

Git clone the corresponding repos and replace the files provided by us, then run the code according to readme of corresponding repos.

For example, to train HAM-Net on THUMOS14 dataset:

git clone https://github.com/asrafulashiq/hamnet.git
mv AGCT/hamnet/* hamnet/
python main.py

To evaluate HAM-Net on THUMOS14 dataset:

python main.py --test --ckpt [checkpoint_path]

Benchmarks

The models are trained on one NVIDIA GeForce GTX 1080 Ti (11G). All the hyper-parameters are the default values. Here we provide the pre-trained models on THUMOS14 dataset.

THUMOS14

Method THUMOS14 Download
[email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] mAP@AVG
HAM-Net 66.9 60.2 51.0 42.0 31.7 22.1 12.0 40.9 OneDrive
CoLA 67.2 61.5 52.9 43.9 34.8 24.9 13.0 42.6 OneDrive
CO2-Net 70.6 64.2 55.9 47.7 38.9 26.0 13.6 45.3 OneDrive

mAP@AVG is the average mAP under the thresholds 0.1:0.1:0.7.

Results

vis