Computer Vision - ACCV 2020 [E-Book] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi.
The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and...
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Personal Name(s): | Ishikawa, Hiroshi, editor |
Liu, Cheng-Lin, editor / Pajdla, Tomas, editor / Shi, Jianbo, editor | |
Edition: |
1st edition 2021. |
Imprint: |
Cham :
Springer,
2021
|
Physical Description: |
XVIII, 715 pages 284 illustrations, 278 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030695385 |
DOI: |
10.1007/978-3-030-69538-5 |
Series Title: |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
12625 /* Depending on the record driver, $field may either be an array with "name" and "number" keys or a flat string containing only the series name. We should account for both cases to maximize compatibility. */?> Lecture Notes in Computer Science |
Subject (LOC): |
- Deep Learning for Computer Vision
- In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization
- Exploiting Transferable Knowledge for Fairness-aware Image Classification
- Introspective Learning by Distilling Knowledge from Online Self-explanation
- Hyperparameter-Free Out-of-Distribution Detection Using Cosine Similarity
- Meta-Learning with Context-Agnostic Initialisations
- Second Order enhanced Multi-glimpse Attention in Visual Question Answering
- Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
- Unified Density-Aware Image Dehazing and Object Detection in Real-World Hazy Scenes
- Part-aware Attention Network for Person Re-Identification
- Image Captioning through Image Transformer
- Feature Variance Ratio-Guided Channel Pruning for Deep Convolutional Network Acceleration
- Learn more, forget less: Cues from human brain
- Knowledge Transfer Graph for Deep Collaborative Learning
- Regularizing Meta-Learning via Gradient Dropout
- Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
- Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed
- Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation
- Double Targeted Universal Adversarial Perturbations
- Adversarially Robust Deep Image Super-Resolution using Entropy Regularization
- Online Knowledge Distillation via Multi-branch Diversity Enhancement
- Rotation Equivariant Orientation Estimation for Omnidirectional Localization
- Contextual Semantic Interpretability
- Few-Shot Object Detection by Second-order Pooling
- Depth-Adapted CNN for RGB-D cameras
- Generative Models for Computer Vision
- Over-exposure Correction via Exposure and Scene Information Disentanglement
- Novel-View Human Action Synthesis
- Augmentation Network for Generalised Zero-Shot Learning
- Local Facial Makeup Transfer via Disentangled Representation
- OpenGAN: Open Set Generative Adversarial Networks
- CPTNet: Cascade Pose Transform Network for Single Image Talking Head Animation
- TinyGAN: Distilling BigGAN for Conditional Image Generation
- A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings
- RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation
- GAN-based Noise Model for Denoising Real Images
- Emotional Landscape Image Generation Using Generative Adversarial Networks
- Feedback Recurrent Autoencoder for Video Compression
- MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
- DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
- dpVAEs: Fixing Sample Generation for Regularized VAEs
- MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network
- EvolGAN: Evolutionary Generative Adversarial Networks
- Sequential View Synthesis with Transformer.