Detection && classification：
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
FASTER Recurrent Networks for Efficient Video Classification
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
Relational Learning for Joint Head and Human Detection
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification
Channel Interaction Networks for Fine-Grained Image Categorization
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Deep Embedded Complementary and Interactive Information for Multi-view Classification
Graph Attention Based Proposal 3D ConvNets for Action Detection
Object Instance Mining for Weakly Supervised Object Detection
Temporal Context Enhanced Feature Aggregation for Video Object Detection
CBNet:A Novel Composite Backbone Network Architecture for Object Detection
Segmentation：
GFF: Gated Fully Fusion for Semantic Segmentation
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training
Deep Object Co-segmentation via Spatial-Semantic Network Modulation
Dynamic Sampling Network for Semantic Segmentation
Face：
Mis-classified Vector Guided Softmax Loss for Face Recognition
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Regularized Fine-grained Meta Face Anti-spoofing
FAN-Face: a simple orthogonal improvement to deep face recognition
Tracking：
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Complementary-View Multiple Human Tracking
POST: POlicy-based Switch Tracking
SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking
Release the power of online-training for robust visual tracking
Multi-Task Driven Feature Models for Thermal Infrared Tracking
Net 加速
Pruning from Scratch
Channel Pruning Guided by Classification Loss and Feature Importance
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data
Sparsity-inducing Binarized Neural Networks
Binarized Neural Architecture Search
Pose Estimation
FDN: Feature Decoupling Network for Head Pose Estimation
3D Single-Person Concurrent Activity Detection Using Stacked Relation Network
RE-ID：
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality
Multi-spectral Vehicle Re-identification: A Challenge
Single Camera Training for Person Re-identification
Hierarchical Online Instance Matching for Person Search
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
Autonomous Driving：
AutoRemover: Automatic Object Removal for Autonomous Driving Videos
other：
Residual Neural Processes
URNet : User-Resizable Residual Networks with Conditional Gating Module
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
Stochastic Loss Function
Context-Aware Zero-Shot Recognition
Subspace Capsule Network
Capsule Routing via Variational Bayes
Facial Attribute Capsules for Noise Face Super Resolution
Scale-wise Convolution for Image Restoration
Random Erasing Data Augmentation
Random Erasing Data Augmentation
GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Particle Filter Recurrent Neural Networks
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Parsing as Pretraining
原文地址：https://www.cnblogs.com/ahuzcl/p/12302783.html