1. Object Detection 

AAAI-2021 Papers: [Link] to 1000

1. Attention:

   • AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing [Paper]

   • Explicitly Modeled Attention Maps for Image Classification

   • 582: Efficient License Plate Recognition via Holistic Position Attention

   • Split then Refine: Stacked Attention-Guided ResUNets for Blind Single Image Visible Watermark Removal

   • MANGO: A Mask Attention Guided One-Stage Scene Text Spotter

   • Self-Supervised Attention-Aware Reinforcement Learning

   • TDAF: Top-Down Attention Framework for Vision Tasks

   • Object Relation Attention for Image Paragraph Captioning

   • DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training

   • 1951: Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences

   • 1975: Dual Sparse Attention Network for Session-Based Recommendation

   • 2832: Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition

   • 4355: Efficient Folded Attention for Medical Image Reconstruction and Segmentation

   • 5186: Attention-Based Multi-Level Fusion Network for Light Field Depth Estimation

   • 6288: A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition

   • 6429: Patch-Wise Attention Network for Monocular Depth Estimation

   • 9885: Context-Aware Attentional Pooling (CAP) for Fine-Grained Visual Classification

   • HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via AttentionBased Variational Autoencoders

   • 2261: Arbitrary Video Style Transfer via Multi-Channel Correlation 

2. Multi-Tasks:

   • Multi-Domain Multi-Task Rehearsal for Lifelong Learning [Paper]

   • Multi-task Learning by Leveraging the Semantic Information [Paper]

   • RevMan: Revenue-Aware Multi-Task Online Insurance Recommendation

   • Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

   • Towards Fully End-to-End Task-Oriented Dialog System with GPT-2

   • Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images

   • Bridging Towers of Multi-Task Learning with a Gating Mechanism for Aspect-Based Sentiment Analysis and Sequential Metaphor Identification

   • Multi-Task Recurrent Modular Networks

   • Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and Relation Extraction

   • UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark

   • Community-Aware Multi-Task Transportation Demand Prediction

   • 7857: A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations

   • 8202: Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus

   • Boosting Multi-task Learning through Combination of Task Labels - with Applications in ECG Phenotyping

   • Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-Based Recommendation 

   • 9720: Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning 

   • 9905: TempLe: Learning Template of Transitions for Sample Efficient Multi-Task RL 

   • MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization 

   • 10119: Maximum Roaming Multi-Task Learning 

3. Patch-based:

   • 1252: A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis 

   • 6429: Patch-Wise Attention Network for Monocular Depth Estimation 

4. Detection Applications:

   • 898: RGB-D Salient Object Detection via 3D Convolutional Neural Networks 

   • 1322: Pyramidal Feature Shrinking for Salient Object Detection 

   • GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates 

   • Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence 

   • 2179: RESA: Recurrent Feature-Shift Aggregator for Lane Detection 

   • 2258: KGDet: Keypoint-Guided Fashion Detection 

   • 2571: Instance Mining with Class Feature Banks for Weakly Supervised Object Detection 

   • 2764: Dynamic Anchor Learning for Arbitrary-Oriented Object Detection 

   • 2967: Semi-Supervised Sequence Classification through Change Point Detection 

   • 3018: Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination 

   • 3337: Voxel R-CNN: Towards High Performance Voxel-Based 3D Object Detection 

   • 3345: Co-Mining: Self-Supervised Learning for Sparsely Annotated Object Detection 

   • 3496: DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection 

   • 3588: Inference Fusion with Associative Semantics for Unseen Object Detection 

   • 3692: PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection 

   • 3951: Regularizing Attention Networks for Anomaly Detection in Visual Question Answering 

   • 4296: Rethinking Object Detection in Retail Stores 

   • 4658: Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection 

   • 4979: Semantic Consistency Networks for 3D Object Detection

   • Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans 

   • 7292: A Systematic Evaluation of Object Detection Networks for Scientific Plots 

   • YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation CoDesign 

   • 7562: Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection 

   • 9153: StarNet: Towards Weakly Supervised Few-Shot Object Detection 

   • 10152: Few-Shot Learning for Multi-Label Intent Detection 

   • 3500: Fooling Thermal Infrared Pedestrian Detector in Real World Using Small Bulbs 

   • 351: CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud 

   • 364: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object 

   • 5421: AnchorFace: An Anchor-Based Facial Landmark Detector across Large Poses