Transfer Learning in semantic segmentation using Convolutional Neural Networks
I am using a CNN model for one of my segmentation problems. The model is inspired by the UNet model for semantic segmentation which uses the vggNet as its encoder. Now I want to use residual blocks in the encoder part and want to transfer the weights from Resnet50. My question is do my encoder (with residual blocks) need to be same as that of ResNet50 architecture to transfer weights or if there is any other way( where I can change encoder architecture which will be a bit different from ResNet50 and still carry the transfer learning).
deep-learning conv-neural-network transfer-learning
asked Nov 23 '18 at 4:50
Tahir MujtabaTahir Mujtaba
13
add a comment |
I am using a CNN model for one of my segmentation problems. The model is inspired by the UNet model for semantic segmentation which uses the vggNet as its encoder. Now I want to use residual blocks in the encoder part and want to transfer the weights from Resnet50. My question is do my encoder (with residual blocks) need to be same as that of ResNet50 architecture to transfer weights or if there is any other way( where I can change encoder architecture which will be a bit different from ResNet50 and still carry the transfer learning).
deep-learning conv-neural-network transfer-learning
asked Nov 23 '18 at 4:50
Tahir MujtabaTahir Mujtaba
13
add a comment |
I am using a CNN model for one of my segmentation problems. The model is inspired by the UNet model for semantic segmentation which uses the vggNet as its encoder. Now I want to use residual blocks in the encoder part and want to transfer the weights from Resnet50. My question is do my encoder (with residual blocks) need to be same as that of ResNet50 architecture to transfer weights or if there is any other way( where I can change encoder architecture which will be a bit different from ResNet50 and still carry the transfer learning).
deep-learning conv-neural-network transfer-learning
asked Nov 23 '18 at 4:50
Tahir MujtabaTahir Mujtaba
13
I am using a CNN model for one of my segmentation problems. The model is inspired by the UNet model for semantic segmentation which uses the vggNet as its encoder. Now I want to use residual blocks in the encoder part and want to transfer the weights from Resnet50. My question is do my encoder (with residual blocks) need to be same as that of ResNet50 architecture to transfer weights or if there is any other way( where I can change encoder architecture which will be a bit different from ResNet50 and still carry the transfer learning).
deep-learning conv-neural-network transfer-learning
deep-learning conv-neural-network transfer-learning
asked Nov 23 '18 at 4:50
Tahir MujtabaTahir Mujtaba
13
asked Nov 23 '18 at 4:50
Tahir MujtabaTahir Mujtaba
13
edited Nov 23 '18 at 5:52
Tahir Mujtaba
asked Nov 23 '18 at 4:50
Tahir MujtabaTahir Mujtaba
13
asked Nov 23 '18 at 4:50
Tahir MujtabaTahir Mujtaba
13
asked Nov 23 '18 at 4:50
Tahir MujtabaTahir Mujtaba
13
13
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53440800%2ftransfer-learning-in-semantic-segmentation-using-convolutional-neural-networks%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53440800%2ftransfer-learning-in-semantic-segmentation-using-convolutional-neural-networks%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
