MP1.L409.1
SCENE TEXT RECOGNITION MODELS EXPLAINABILITY USING LOCAL FEATURES
Mark Vincent Ty, Rowel Atienza, University of the Philippines, Philippines
Session:
MP1.L409: Text Detection and Recognition in Images Lecture
Track:
Image and Video Analysis, Synthesis, and Retrieval
Location:
Room 409
Presentation Time:
Mon, 9 Oct, 14:30 - 14:48 Malaysia Time (UTC +8)
Session Chair:
Chee Seng Chan, Universiti Malaya
Session MP1.L409
MP1.L409.1: SCENE TEXT RECOGNITION MODELS EXPLAINABILITY USING LOCAL FEATURES
Mark Vincent Ty, Rowel Atienza, University of the Philippines, Philippines
MP1.L409.2: DIFFUSIONSTR: DIFFUSION MODEL FOR SCENE TEXT RECOGNITION
Masato Fujitake, Fast Accounting Co., Ltd., Japan
MP1.L409.3: DISTILLING KNOWLEDGE OF BIDIRECTIONAL LANGUAGE MODEL FOR SCENE TEXT RECOGNITION
Shota Orihashi, Yoshihiro Yamazaki, Mihiro Uchida, Akihiko Takashima, Ryo Masumura, NTT Corporation, Japan
MP1.L409.4: UNSUPERVISED DOMAIN ADAPTATION WITH IMBALANCED CHARACTER DISTRIBUTION FOR SCENE TEXT RECOGNITION
Hung Tran Tien, Thanh Duc Ngo, University of Information Technology - VNUHCM, Viet Nam
MP1.L409.5: Deformation Robust Text Spotting with Geometric Prior
Xixuan Hao, Aozhong Zhang, Xianze Meng, Bin Fu, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
Contacts