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Found 8 papers, 2 papers with code
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection
In this work, we propose to explore Self- and Cross-Triplet Correlations (SCTC) for HOI detection.
Human-Object Interaction Detection
Knowledge Distillation
+2
Asymmetric Momentum: A Rethinking of Gradient Descent
It not only can accelerates slow-changing parameters for sparse gradients, similar to adaptive optimizers, but also can choose to accelerates frequently-changing parameters for non-sparse gradients, thus being adaptable to all types of datasets.
Full Resolution Repetition Counting
Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions.
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
With the rapid advancements in autonomous driving and robot navigation, there is a growing demand for lifelong learning models capable of estimating metric (absolute) depth.
Joint Counting, Detection and Re-Identification for Multi-Object Tracking
The recent trend in 2D multiple object tracking (MOT) is jointly solving detection and tracking, where object detection and appearance feature (or motion) are learned simultaneously.
Deep Depth Completion from Extremely Sparse Data: A Survey
Depth completion aims at predicting dense pixel-wise depth from an extremely sparse map captured from a depth sensor, e. g., LiDARs.
Dense 3D Facial Reconstruction from a Single Depth Image in Unconstrained Environment
With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step for those virtual reality tasks.
Ship Detection and Segmentation using Image Correlation
There have been intensive research interests in ship detection and segmentation due to high demands on a wide range of civil applications in the last two decades.
