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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	November 2022
Genre:	EDV / Informatik
	Applications / computerscience / ConferenceProceedings / Informatics / Research
ISBN:	9783031198083
EAN-Code:	9783031198083
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 44 mm
Gewicht:	1212 gr
Seiten:	816
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Contrastive Deep Supervision.- Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective.- LocVTP: Video-Text Pre-training for Temporal Localization.- Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads.- Implicit Neural Representations for Image Compression.- LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space.- Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining.- Learning Ego 3D Representation As Ray Tracing.- Static and Dynamic Concepts for Self-Supervised Video Representation Learning.- SphereFed: Hyperspherical Federated Learning.- Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning.- Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning.- Balancing Stability and Plasticity through Advanced Null Space in Continual Learning.- DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning.- CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One.- Manifold Adversarial Learning for Cross-Domain 3D Shape Representation.- Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches.- LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling.- On the Versatile Uses of Partial Distance Correlation in Deep Learning.- Self-Regulated Feature Learning via Teacher-Free Feature Distillation.- Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning.- Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification.- DAS: Densely-Anchored Sampling for Deep Metric Learning.- Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition.- A Non-Isotropic Probabilistic TakeOn Proxy-Based Deep Metric Learning.- TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers.- UFO: Unified Feature Optimization.- Sound Localization by Self-Supervised Time Delay Estimation.- X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation.- SLIP: Self-Supervision Meets Language-Image Pre-training.- Discovering Deformable Keypoint Pyramids.- Neural Video Compression Using GANs for Detail Synthesis and Propagation.- A Contrastive Objective for Learning Disentangled Representations.- PT4AL: Using Self-Supervised Pretext Tasks for Active Learning.- ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer.- DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.- Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective.- Decoupled Contrastive Learning.- Joint Learning of Localized Representations from Medical Images and Reports.- The Challenges of Continuous Self-Supervised Learning.- Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval.- Identifying Hard Noise in Long-Tailed Sample Distribution.