A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
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How to use De-confound-TDE improve Scene Graph 's object Detection performance? #113
@KaihuaTang Dear Tang:
Thanks once again for awesome work. I find your another paper 《Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect》 which use TDE to improve model performance.but it works after train model,Could we fix the"Scene Graph Benchmark",let 'extract image feature ' and 'scene graph train model' decouple ?
❓ Questions and Help
@KaihuaTang Dear Tang: Thanks once again for awesome work. I find your another paper 《Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect》 which use TDE to improve model performance.but it works after train model,Could we fix the"Scene Graph Benchmark",let 'extract image feature ' and 'scene graph train model' decouple ?