WA.PD.7
DF-Net: Diversity-Focused Network for Video Object Detection
Zhenyu Qiu, Qiang Qi, Yan Yan, Hanzi Wang, Xiamen University, China
Session:
WA.PD: Machine Learning for Image Analysis Poster
Track:
Applications of Machine Learning
Location:
Poster Area D
Presentation Time:
Wed, 11 Oct, 11:00 - 12:30 Malaysia Time (UTC +8)
Session Chair:
Aladine Chetouani, Université d'Orléans
Session WA.PD
WA.PD.1: Siamese Network Representation for Active Learning
Jianing Li, Yuan Du, Li Du, Nanjing University, China
WA.PD.2: LADDER SIAMESE NETWORK: A METHOD AND INSIGHTS FOR MULTI-LEVEL SELF-SUPERVISED LEARNING
Ryota Yoshihashi, Shuhei Nishimura, Dai Yonebayashi, Yuya Otsuka, Tomohiro Tanaka, Takashi Miyazaki, Yahoo Japan Corporation, Japan
WA.PD.3: RETHINKING LONG-TAILED VISUAL RECOGNITION WITH DYNAMIC PROBABILITY SMOOTHING AND FREQUENCY WEIGHTED FOCUSING
Wan Jun Nah, Chun Chet Ng, Universiti Malaya, Malaysia; Che-Tsung Lin, Chalmers University of Technology, Sweden; Yeong Khang Lee, ViTrox Corporation Berhad, Malaysia; Jie Long Kew, Zhi Qin Tan, Chee Seng Chan, Universiti Malaya, Malaysia; Zach Christopher, Chalmers University of Technology, Sweden; Shang-Hong Lai, National Tsing Hua University, Taiwan
WA.PD.4: GENERALIZED PSEUDO-LABELING IN CONSISTENCY REGULARIZATION FOR SEMI-SUPERVISED LEARNING
Nikolaos Karaliolios, Florian Chabot, Camille Dupont, Hervé Le Borgne, Quoc-Cuong Pham, Romaric Audigier, CEA-LIST, France
WA.PD.5: Model-agnostic visual explanations via approximate bilinear models
Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
WA.PD.7: DF-Net: Diversity-Focused Network for Video Object Detection
Zhenyu Qiu, Qiang Qi, Yan Yan, Hanzi Wang, Xiamen University, China
WA.PD.8: 3D-CSL: SELF-SUPERVISED 3D CONTEXT SIMILARITY LEARNING FOR NEAR-DUPLICATE VIDEO RETRIEVAL
Rui Deng, Qian Wu, Yuke Li, NetEase, China
WA.PD.9: MULTI HYBRID EXTRACTOR NETWORK FOR 3D HUMAN POSE ESTIMATION
Zhixiang Yuan, Xitie Zhang, Suping Wu, Boyang Zhang, Yuxin Peng, Bing Wang, Ningxia University, China
WA.PD.10: HIERARCHICAL MULTI-TASK LEARNING VIA TASK AFFINITY GROUPINGS
Siddharth Srivastava, IIT Delhi, TensorTour Inc, India; Swati Bhugra, Vinay Kaushik, Brejesh Lall, IIT Delhi, India
WA.PD.11: EFFICIENT ANY-TARGET BACKDOOR ATTACK WITH PSEUDO POISONED SAMPLES
Bin Huang, Zhi Wang, Tsinghua University, China
WA.PD.12: SIMPLE SELF-DISTILLATION LEARNING FOR NOISY IMAGE CLASSIFICATION
Tenta Sasaya, Takashi Watanabe, Takashi Ida, Toshiyuki Ono, Toshiba Corporation, Japan
Contacts