ContextLocNet: Context-aware deep network models for weakly supervised localization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9909 LNCS, Issue , 2016, Pages 350-365

  Kantorov, Vadim ^a   Oquab, Maxime ^a   Cho, Minsu ^a   Laptev, Ivan ^a  

^a ECOLE NORMALE SUPÉRIEURE   (France)

Author keywords

Context; Convolutional neural networks; Object detection; Object recognition; Weakly supervised object localization

Indexed keywords

ADDITIVES; CONVOLUTION; CONVOLUTIONAL NEURAL NETWORKS; OBJECT DETECTION;

ADDITIVE MODELS; CONTEXT; CONTEXT-AWARE APPROACHES; EXPERIMENTAL EVALUATION; NETWORK MODELS; OBJECT BOUNDARIES; OBJECT LOCALIZATION; SUPERVISED LOCALIZATION;

OBJECT RECOGNITION;

EID: 84990032228     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46454-1_22     Document Type: Conference Paper

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