Best practices for fine-tuning visual classifiers to new domains

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

Volumn 9915 LNCS, Issue , 2016, Pages 435-442

  Chu, Brian ^a   Madhavan, Vashisht ^a   Beijbom, Oscar ^a   Hoffman, Judy ^a   Darrell, Trevor ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE REPRESENTATION;

BEST PRACTICES; CONVOLUTIONAL NEURAL NETWORK; FINE TUNING; FINE-TUNING METHODS; GENERIC FEATURES; LABELED DATA; LABELED DATASET; PERFORMANCE; TRIAL AND ERROR; VISUAL RECOGNITION;

DEEP NEURAL NETWORKS;

EID: 85005987353     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-49409-8_34     Document Type: Conference Paper

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