Sorry, you need to enable JavaScript to visit this website.

Deep Learning Representations in Multimedia

CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS


Coral species, with complex morphology and ambiguous boundaries, pose a great challenge for automated classification. CNN activations, which are extracted from fully connected layers of deep networks (FC features), have been successfully used as powerful universal representations in many visual tasks. In this paper, we investigate the transferability and combined performance of FC features and CONV features (extracted

Paper Details

Authors:
Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid
Submitted On:
20 April 2018 - 8:59am
Short Link:
Type:
Event:

Document Files

ICASSP2018 Poster.pdf

(144 downloads)

Keywords

Additional Categories

Subscribe

[1] Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid, "CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3103. Accessed: Nov. 19, 2018.
@article{3103-18,
url = {http://sigport.org/3103},
author = {Mohammed Bennamoun; Senjian An; Ferdous Sohel; Farid Boussaid },
publisher = {IEEE SigPort},
title = {CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS},
year = {2018} }
TY - EJOUR
T1 - CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS
AU - Mohammed Bennamoun; Senjian An; Ferdous Sohel; Farid Boussaid
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3103
ER -
Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid. (2018). CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS. IEEE SigPort. http://sigport.org/3103
Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid, 2018. CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS. Available at: http://sigport.org/3103.
Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid. (2018). "CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS." Web.
1. Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid. CLASSIFICATION OF CORALS IN REFLECTANCE AND FLUORESCENCE IMAGES USING CONVOLUTIONAL NEURAL NETWORK REPRESENTATIONS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3103

LDADeep+: Latent Aspect Discovery with Deep Representations


LDADeep+ utilizes the high-level meaning of deep learning representation, and combines it with topic model to learn good aspects

Nowadays, with the success and fast growth of social media communities and mobile devices, people are encouraged to share their multimedia data online. Analyzing and summarizing data into useful information thus becomes increasingly important. For on- line photo sharing services like Flickr, when users are uploading a batch of daily photos at a time, the tags users provided tend to be rather vague, containing only a small amount of information.

Paper Details

Authors:
Chieh-En Tsai, Hui-Lan Hsieh, Winston Hsu
Submitted On:
24 March 2016 - 12:09pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

tsai_LDADeep_4_3 copy.pptx

(401 downloads)

Keywords

Additional Categories

Subscribe

[1] Chieh-En Tsai, Hui-Lan Hsieh, Winston Hsu, "LDADeep+: Latent Aspect Discovery with Deep Representations", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1028. Accessed: Nov. 19, 2018.
@article{1028-16,
url = {http://sigport.org/1028},
author = {Chieh-En Tsai; Hui-Lan Hsieh; Winston Hsu },
publisher = {IEEE SigPort},
title = {LDADeep+: Latent Aspect Discovery with Deep Representations},
year = {2016} }
TY - EJOUR
T1 - LDADeep+: Latent Aspect Discovery with Deep Representations
AU - Chieh-En Tsai; Hui-Lan Hsieh; Winston Hsu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1028
ER -
Chieh-En Tsai, Hui-Lan Hsieh, Winston Hsu. (2016). LDADeep+: Latent Aspect Discovery with Deep Representations. IEEE SigPort. http://sigport.org/1028
Chieh-En Tsai, Hui-Lan Hsieh, Winston Hsu, 2016. LDADeep+: Latent Aspect Discovery with Deep Representations. Available at: http://sigport.org/1028.
Chieh-En Tsai, Hui-Lan Hsieh, Winston Hsu. (2016). "LDADeep+: Latent Aspect Discovery with Deep Representations." Web.
1. Chieh-En Tsai, Hui-Lan Hsieh, Winston Hsu. LDADeep+: Latent Aspect Discovery with Deep Representations [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1028