Technical Program

TA-L5: Image Classification I

Session Type: Lecture
Time: Tuesday, September 19, 10:30 - 12:30
Location: Room 309A
Session Chair: David Crandall, Indiana University
 
TA-L5.1: DEEP DICTIONARY LEARNING FOR FINE-GRAINED IMAGE CLASSIFICATION
         M. Srinivas; Academia Sinica
         Yen-Yu Lin; Academia Sinica
         Hong-Yuan Mark Liao; Academia Sinica
 
TA-L5.2: HYPER-VOXEL BASED DEEP LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Atif Mughees; Tsinghua University
         Linmi Tao; Tsinghua University
 
TA-L5.3: MAKING THE TORCH LIGHTER: A REINFORCED ACTIVE SAMPLING FRAMEWORK FOR IMAGE CLASSIFICATION
         Peng Liu; Harbin Institute of Technology
         Zhipeng Ye; Harbin Institute of Technology
         Xianglong Tang; Harbin Institute of Technology
         Wei Zhao; Harbin Institute of Technology
 
TA-L5.4: INCREMENTAL ZERO-SHOT LEARNING BASED ON ATTRIBUTES FOR IMAGE CLASSIFICATION
         Nan Xue; Dalian University of Technology
         Yi Wang; Dalian University of Technology
         Xin Fan; Dalian University of Technology
         Maomao Min; Dalian University of Technology
 
TA-L5.5: CGAN-PLANKTON: TOWARDS LARGE-SCALE IMBALANCED CLASS GENERATION AND FINE-GRAINED CLASSIFICATION
         Chao Wang; Ocean University of China
         Zhibin Yu; Ocean University of China
         Haiyong Zheng; Ocean University of China
         Nan Wang; Ocean University of China
         Bing Zheng; Ocean University of China
 
TA-L5.6: LEAF CLASSIFICATION USING MARGINALIZED SHAPE CONTEXT AND SHAPE+TEXTURE DUAL-PATH DEEP CONVOLUTIONAL NEURAL NETWORK
         Meet Shah; Indian Institute of Technology (IIT) Bombay
         Sougata Singha; Indian Institute of Technology (IIT) Bombay
         Suyash P. Awate; Indian Institute of Technology (IIT) Bombay