FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Jae-hun Shim, Hyunwoo Yu, Kyeongbo Kong, Suk-Ju Kang. FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation. In Brian Williams 0001, Yiling Chen 0001, Jennifer Neville, editors, Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. pages 2263-2271, AAAI Press, 2023. [doi]

This author has not been identified. Look up 'Jae-hun Shim' in GoogleThis author has not been identified. Look up 'Hyunwoo Yu' in GoogleThis author has not been identified. Look up 'Kyeongbo Kong' in GoogleThis author has not been identified. Look up 'Suk-Ju Kang' in Google

runs on WebDSL