MO2.R1.4

RIFORMER: LEARNING ROTATION-INVARIANT FEATURES VIA TRANSFORMER

Chao Song, Shaohui Mei, Mingyang Ma, Northwestern Polytechnical University, China
Session:
MO2.R1: Feature Extraction and Reduction Oral
Track:
Data Analysis
Location:
Room B
Presentation Time:
Mon, 17 Jul, 16:21 - 16:33 Pacific Time (UTC -7)
Session Chair:
Minh-Tan Pham, Université Bretagne Sud
Session Manager:
Yifan Yang
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Session MO2.R1
MO2.R1.1: REFINING LAND-COVER WEAK LABELS USING A DISCRETE WAVELET TRANSFORM INSPIRED DEEP ADVERSARIAL MODEL
ABHISHEK SINGH, LORENZO BRUZZONE, University of Trento, Italy
MO2.R1.2: HYPERBOLIC VARIATIONAL AUTO-ENCODER FOR REMOTE SENSING SCENE EMBEDDINGS
Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre, Université Bretagne Sud, France
MO2.R1.3: AN UNSUPERVISED BAND SELECTION METHOD BASED ON TRIPLE CONSTRAINTS AND ATTENTION NETWORK FOR HYPERSPECTRAL IMAGERY
Yufei Liu, Xiaorun Li, Zhejiang University, China
MO2.R1.4: RIFORMER: LEARNING ROTATION-INVARIANT FEATURES VIA TRANSFORMER
Chao Song, Shaohui Mei, Mingyang Ma, Northwestern Polytechnical University, China
MO2.R1.5: NONCONTACT VITAL SIGNS EXTRACTION USING AN IMPULSE-RADIO UWB RADAR
Yizhu Wang, Jing Liang, University of Electronic Science and Technology of China, China
Resources
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