Meta-Knowledge Learning and Domain Adaptation for Unseen Background Subtraction 9058-9068 Multi-Target Pan-Class Intrinsic Relevance Driven Model for Improving Semantic Segmentation in Autonomous Driving Night-Time Scene Parsing With a Large Real Dataset Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection Texture Memory-Augmented Deep Patch-Based Image Inpainting Semi-Supervised Dual Relation Learning for Multi-Label Classification Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning ACP++: Action Co-Occurrence Priors for Human-Object Interaction Detection Depth Privileged Scene Recognition via Dual Attention Hallucination Dynamic Selective Network for RGB-D Salient Object Detection Memorize, Associate and Match: Embedding Enhancement via Fine-Grained Alignment for ImageText Retrieval DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition It GAN Do Better: GAN-Based Detection of Objects on Images With Varying Quality Rethinking Motion Representation: Residual Frames With 3D ConvNets Joint Feature Disentanglement and Hallucination for Few-Shot Image Classification Image Comes Dancing With Collaborative Parsing-Flow Video Synthesis Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids Deep Unsupervised Active Learning via Matrix Sketching Learning Human-Object Interaction via Interactive Semantic Reasoning Stroke-Based Scene Text Erasing Using Synthetic Data for Training Video Text Tracking With a Spatio-Temporal Complementary Model Multi-Hierarchical Category Supervision for Weakly-Supervised Temporal Action Localization Spatially Adaptive Feature Refinement for Efficient Inference Stroke-Based Scene Text Erasing Using Synthetic Data for Training 9069-9084 9085-9098 9099-9111 9112-9124 9125-9135 9136-9149 9150-9163 9164-9178 9179-9192 9193-9207 9208-9219 9220-9230 9231-9244 9245-9258 9259-9269 9270-9279 9280-9293 9294-9305 9306-9320 9321-9331 9332-9344 9345-9358 9306-9320 www.signalprocessingsociety.org [8] DECEMBER 2021https://dx.doi.org/10.1109/TIP.2021.3122102 https://dx.doi.org/10.1109/TIP.2021.3124313 https://dx.doi.org/10.1109/TIP.2021.3124313 https://dx.doi.org/10.1109/TIP.2021.3122004 https://dx.doi.org/10.1109/TIP.2021.3118953 https://dx.doi.org/10.1109/TIP.2021.3122930 https://dx.doi.org/10.1109/TIP.2021.3122003 https://dx.doi.org/10.1109/TIP.2021.3122806 https://dx.doi.org/10.1109/TIP.2021.3113563 https://dx.doi.org/10.1109/TIP.2021.3122955 https://dx.doi.org/10.1109/TIP.2021.3123548 https://dx.doi.org/10.1109/TIP.2021.3123553 https://dx.doi.org/10.1109/TIP.2021.3123553 https://dx.doi.org/10.1109/TIP.2021.3123555 https://dx.doi.org/10.1109/TIP.2021.3123555 https://dx.doi.org/10.1109/TIP.2021.3124155 https://dx.doi.org/10.1109/TIP.2021.3124156 https://dx.doi.org/10.1109/TIP.2021.3124322 https://dx.doi.org/10.1109/TIP.2021.3123549 https://dx.doi.org/10.1109/TIP.2021.3123551 https://dx.doi.org/10.1109/TIP.2021.3124317 https://dx.doi.org/10.1109/TIP.2021.3125258 https://dx.doi.org/10.1109/TIP.2021.3125260 https://dx.doi.org/10.1109/TIP.2021.3124313 https://dx.doi.org/10.1109/TIP.2021.3124671 https://dx.doi.org/10.1109/TIP.2021.3125263 https://dx.doi.org/10.1109/TIP.2021.3125260 http://www.signalprocessingsociety.org