Recognition and Detection
End-to-end Model-based Gait Recognition
Horizontal Flipping Assisted Disentangled Feature Learning for Semi-Supervised Person Re-Identification
MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings
Backbone Based Feature Enhancement for Object Detection
Long-Term Cloth-Changing Person Re-identification
Any-Shot Object Detection
Background Learnable Cascade for Zero-Shot Object Detection
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation
COG: COnsistent data auGmentation for object perception
Synthesizing the Unseen for Zero-shot Object Detection
Fully Supervised and Guided Distillation for One-Stage Detectors
Visualizing Color-wise Saliency of Black-Box Image Classification Models
ERIC: Extracting Relations Inferred from Convolutions
D2D: Keypoint Extraction with Describe to Detect Approach
^Accurate Arbitrary-Shaped Scene Text Detection via Iterative Polynomial Parameter Regression
Adaptive Spotting: Deep Reinforcement Object Search in 3D Point Clouds
Efficient Large-Scale Semantic Visual Localization in 2D Maps
Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild
Scale-Aware Polar Representation for Arbitrarily-Shaped Text Detection
Branch Interaction Network for Person Re-identification
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images
Jointly Discriminating and Frequent Visual Representation Mining
Discrete Spatial Importance-Based Deep Weighted Hashing
Low-level Sensor Fusion Network for 3D Vehicle Detection using Radar Range-Azimuth Heatmap and Monocular Image
MLIFeat: Multi-level information fusion based deep local features
CLASS: Cross-Level Attention and Supervision for Salient Objects Detection
Cascaded Transposed Long-range Convolutions for Monocular Depth Estimation
^Optimization, Statistical Methods, and Learning
Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks
Large-Scale Cross-Domain Few-Shot Learning
Channel Pruning for Accelerating Convolutional Neural Networks via Wasserstein Metric
Progressive Batching for Efficient Non-linear Least Squares
Fast and Differentiable Message Passing on Pairwise Markov Random Fields
A Calibration Method for the Generalized Imaging Model with Uncertain Calibration Target Coordinates
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
Towards Fast and Robust Adversarial Training for Image Classification
Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model
Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue
Robot Vision
^Point Proposal based Instance Segmentation with Rectangular Masks for Robot Picking Task
Multi-task Learning with Future States for Vision-based Autonomous Driving
MTNAS: Search Multi-Task Networks for Autonomous Driving
Compact and Fast Underwater Segmentation Network for Autonomous Underwater Vehicles
L2R GAN: LiDAR-to-Radar Translation
V2A
Vision to Action: Learning robotic arm actions based on vision and language
To Filter Prune, or to Layer Prune, That Is The Question.