TERDNet introduces a transformer-encoder recurrent-decoder architecture for scene change detection that outperforms prior models on public benchmarks.
Dual task learning by leveraging both dense correspondence and mis-correspondence for robust change detection with imperfect matches,
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TERDNet: Transformer Encoder-Recurrent Decoder Network for Scene Change Detection
TERDNet introduces a transformer-encoder recurrent-decoder architecture for scene change detection that outperforms prior models on public benchmarks.