Table of Contents: “... for Power Line Extraction from Infrared Aerial Images -- Deep Dynamic-Range Compression of Infrared Video Camera -- Saliency Map-Based Local White-Box Adversarial Attack Against Deep Neural Networks -- Improving Adversarial Attacks With Ensemble-Based Approaches...”

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Table of Contents: “... Lightweight Gateway System Based on White-Box Cryptography -- Symmetric Key Based Scheme for Verification Token Generation in Internet of Things Communication Environment -- Resource Consumption Evaluation of C++ Cryptographic Libraries on Resource-Constrained...”

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Table of Contents: “... Components -- Classification of food types in a box with gas sensors using a machine learning method. Case study of intelligent electronic nose -- A Micro-Interaction Tool For Online Text Analysis -- Use of Classification Techniques for the Analysis of Data...”

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Table of Contents: “... : promising way forward or constitutional nightmare in-the-making? -- Henrik Palmer Olsen, Jacob Livingston Slosser and Thomas Troels Hildebrandt, What's in the box? The legal requirement of explainability in computationally, eided decision-making in public...”

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Table of Contents: “... Dynamical Map in the Creation of Optimized Chaotic S-Boxes -- The Interaction of Memristor in Cellular Nonlinear Network for Image and Signal Processing -- The Turing Model and Discrete Limit Cycles with Eddy and Convection -- Cloud Electrification as a Source...”

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Table of Contents: “... -- Boxes -- Box 2.1 Green Recovery Goals Guide COVID-19 Responses by Multilateral Organizations -- Box 2.2 Job Creation from Green Growth Strategies -- Box 2.3 Carbon Wealth in the Middle East and North Africa and Its Potential Pitfalls -- Box 3.1 Different...”

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Table of Contents: “... Box: The Firm-level Adoption of Technology (FAT) Survey -- The Data Used in This Volume -- Using the FAT Data to Understand Some of the Limitations of Standard Measures of Technology -- Summing Up -- Notes -- References -- 2. Facts about Technology Adoption...”

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Table of Contents: “..., and Contrastive Learning -- Universal Lesion Detection and Classification using Limited Data and Weakly-Supervised Self-Training -- BoxShrink: From Bounding Boxes to Segmentation Masks -- Multi-Feature Vision Transformer via Self-Supervised Representation Learning...”

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Table of Contents: “... Cloud Based Scene Flow Estimation -- 3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching -- Video Restoration Framework and Its Meta-Adaptations to Data-Poor Conditions -- MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point...”

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Table of Contents: “... for Optical Flow Prediction -- ViTAS: Vision Transformer Architecture Search -- LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds -- Uncertainty-DTW for Time Series and Sequences -- Black-Box Few-Shot Knowledge Distillation -- Revisiting...”

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Table of Contents: “...Box-Supervised Instance Segmentation with Level Set Evolution -- Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding -- Adaptive Agent Transformer for Few-Shot Segmentation -- Waymo Open Dataset: Panoramic Video Panoptic...”

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Table of Contents: “... Localization with Natural Language Queries -- UniTAB: Unifying Text and Box Outputs for Grounded VisionLanguage Modeling -- Scaling Open-Vocabulary Image Segmentation with Image-Level Labels -- The Abduction of Sherlock Holmes: A Dataset for Visual Abductive...”

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Table of Contents: “... Scene Representations -- Unified Implicit Neural Stylization -- GAN with Multivariate Disentangling for Controllable Hair Editing -- Discovering Transferable Forensic Features for CNN-Generated Images Detection -- Harmonizer: Learning to Perform White-Box...”

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Table of Contents: “...Symmetric Cryptography -- Modeling Large S-box in MILP and a (Related-key) Differential Attack on Full Round PIPO-64/128 -- Light but Tight: Lightweight Composition of Serialized S-Boxes with Diffusion Layers for Strong Ciphers -- Hardware Implementation...”

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Table of Contents: “... of the Impact of White Box Adversarial Attacks in ResNet While Classifying Retinal Fundus Images -- Factors Influencing the Helpfulness of Online Consumer Reviews -- Perspective Review on Deep Learning Models to Medical Image Segmentation -- Real Time Captioning...”

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Table of Contents: “... Invariant Learning for Improved Syn-to-Real Generalization -- AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection -- Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box -- Visual Prompt Tuning -- Quasi...”

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Table of Contents: “...: Depth Estimation from a Light-Weight ToF Sensor and RGB Image -- 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform -- RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation -- Monocular 3D...”

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Table of Contents: “...Invited Paper -- Learning Monitorable Operational Design Domains for Assured Autonomy -- Reinforcement Learning -- Dynamic Shielding for Reinforcement Learning in Black-Box Environments -- An Impossibility Result in Automata-Theoretic Reinforcement...”

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Table of Contents: “...ByteTrack: Multi-Object Tracking by Associating Every Detection Box -- Robust Multi-Object Tracking by Marginal Inference -- PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? -- Particle Video Revisited: Tracking through...”

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