Less-Supervised Segmentation with CNNs : Scenarios, Models and Optimization

Click to enlarge

ISBN No.:	9780323956741
Pages:	275
Year:	202508
Format:	Trade Paper
Price:	$ 172.31
Dispatch delay:	Dispatched between 7 to 15 days
Status:	Available (Forthcoming)

Qty: Add to Cart

Synopsis
Table of contents
Full Details

I - Introduction II - Preliminaries III - Different levels of supervision III.1. Different supervisions III.2. Priors. III.2.a Knowledge driven priors III.

2.b Data driven priors IV - A unified view V - Semi-supervised learning V.1. Introduction to the setting. V.2. Adversarial learning V.3.

Consistency regularization V.4. Unsupervised representation learning V.5. Self-paced learning. V.6. Mixed-supervision.

V.7. Invited chapter. VI - Unsupervised domain adaptation VI.1. Introduction to the setting. VI.2.

Adversarial learning. VI.3. Source-free adaptation. VI.4. Domain generalization? VI.5.

Invited chapter. VII - Weakly supervised segmentation VII.1. Introduction to the setting. VII.2. From global cues to pixel labels VII.3.

Constrained CNNs VII.3.a Equality constraints. VII.3.b Constrained CNNs: Inequality constraints. VII.4.

Class activation maps based methods. VII.5. Invited chapter/s VIII - Few-shot learning VIII.1. Introduction to the setting. VIII.2.

Learning to learn. VIII.3. Data augmentation. VIII.4. Simple baselines. VIII.

5. Invited chapter IX - Unsupervised segmentation IX.1. Introduction to the setting. IX.2. Auto-encoders IX.3.

Use of the gradient IX.4. Leveraging constraints IX.5. Invited chapter X - Perspectives and future directions.

To be able to view the table of contents for this publication then please subscribe by clicking the button below...

To be able to view the full description for this publication then please subscribe by clicking the button below...