• AI-News 2019
• CV
• NLP
• Recommendation
• Data-Competition
• Other-Awesome

• Semantic Segmentation
• Medical Segmentation
• Other Segmentation
• Re-Identification
• text detection and OCR
• Classification
• Super-Resolution
• Detection

• AAAI
  • Segmenting Medical MRI via Recurrent Decoding Cell[Code]
  • F3Net: Fusion, Feedback and Focus for Salient Object Detection[Code]
  • An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
  • JSNet: Joint Instance and Semantic Segmentation of 3D Point CloudsCode

• WACV
  • Print Defect Mapping with Semantic Segmentation

• Weakly Supervised
  • Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs
• Supervised
  • Gated Path Selection Network for Semantic Segmentation
  • MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding
  • HMANet: Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images
  • Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation[TMI]
  • Universal Semantic Segmentation for Fisheye Urban Driving Images[augmentation ]
  • Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation
  • High-Order Paired-ASPP Networks for Semantic Segmenation
• Other
  • SOLAR: Second-Order Loss and Attention for Image Retrieval
• Survey and Dataset
  • Image Segmentation Using Deep Learning: A Survey
  • Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
  • Towards Open-Set Semantic Segmentation of Aerial Images
  • VIFB: A Visible and Infrared Image Fusion Benchmark

• Attention
  • Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation[Code]
  • Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention
  • Stan: Small tumor-aware network for breast ultrasound image segmentation

• Distillation + Knowledge Distillation for Brain Tumor Segmentation

• TMI
  • Unpaired Multi-modal Segmentation via Knowledge Distillation

• Neural Architecture Search

  • ENAS U-Net: Evolutionary Neural Architecture Search for Retinal Vessel Segmentation

• Adversarial and unsupervised and Weakly Supervised

  • Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks
  • Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
  • e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation
  • Weakly Supervised Lesion Co-segmentation on CT Scans
  • Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation
  • A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation
  • An Unsupervised Learning Model for Medical Image Segmentation

• Attention

  • RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
  • SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
  • Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
  • Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images[[underview MIDL]]
  • Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention

• Survey and Benchmark

  • VerSe: A Vertebrae Labelling and Segmentation Benchmark
  • Deep Learning in Medical Ultrasound Image Segmentation: a Review

• Zero-Shot Video Segmentation
  • Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

• Video
  • Fast Video Object Segmentation using the Global Context Module[Attention]
• Instance
  • PatchPerPix for Instance Segmentation

• Awesome
  • Awesome Person Re-identification (Person ReID)

-2020 + Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification

• 2020
  • VMRFANet:View-Specific Multi-Receptive Field Attention Network for Person Re-identification
  • Learning Diverse Features with Part-Level Resolution for Person Re-Identification
  • An Implicit Attention Mechanism for Deep Learning Pedestrian Re-identification Frameworks[Code]
  • Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention
  • Person Re-identification by Contour Sketch under Moderate Clothing Change[TPAMI]
  • An Empirical Study of Person Re-Identification with Attributes
  • Diversity-Achieving Slow-DropBlock Network for Person Re-Identification
  • Intra-Camera Supervised Person Re-Identification

• 2020
  • Efficient Scene Text Detection with Textual Attention Tower

• 2020
  • Scene Text Recognition With Finer Grid Rectification
  • TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
  • Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images

• 2020
  • Depthwise-STFT based separable Convolutional Neural Networks[[ICASSP]]

ICCV: 23%-30%
CVPR: 24%-30%
ECCV: 26%-28%
ICME：30%
ACCV: 26%-29%
BMVC: 29%-35%
ICLR: ~30%
MICCAI: ~30%
ICPR: 48%-56%
COLT: 26%-52%
ICML: 25%-32%
IJCAI: 24%-34%
ICIP：50%