Search Results for author:
Found 14 papers, 6 papers with code
NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets
We propose a post-processor, called NeighborTrack, that leverages neighbor information of the tracking target to validate and improve single-object tracking (SOT) results.
Ranked #1 on
Visual Object Tracking
on UAV123
Designing Network Design Strategies Through Gradient Path Analysis
This paper proposes a new network design strategy, i. e., to design the network architecture based on gradient path analysis.
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56. 8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100.
Ranked #3 on
Real-Time Object Detection
on COCO
(using extra training data)
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video
To address this problem, we propose a motion pose and shape network (MPS-Net) to effectively capture humans in motion to estimate accurate and temporally coherent 3D human pose and shape from a video.
Ranked #4 on
3D Human Pose Estimation
on MPI-INF-3DHP
(Acceleration Error metric)
You Only Learn One Representation: Unified Network for Multiple Tasks
In this paper, we propose a unified network to encode implicit knowledge and explicit knowledge together, just like the human brain can learn knowledge from normal learning as well as subconsciousness learning.
Ranked #1 on
Real-Time Object Detection
on COCO test-dev
Scaled-YOLOv4: Scaling Cross Stage Partial Network
We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal speed and accuracy.
Ranked #9 on
Object Detection
on COCO test-dev
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization
Specifically, we are required to provide a solution that is able to (1) handle the traffic signal control when certain surveillance cameras that retrieve information for reinforcement learning are down, (2) learn from batch data without a traffic simulator, and (3) make control decisions without shared information across intersections.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
YOLOv4: Optimal Speed and Accuracy of Object Detection
There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy.
Ranked #30 on
Object Detection
on COCO test-dev
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection
A new structure "residual feature pyramid" is proposed in this paper.
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.
Ranked #591 on
Image Classification
on ImageNet
A New Target-specific Object Proposal Generation Method for Visual Tracking
Then, we apply the proposed TOPG method to the task of visual tracking and propose a TOPG-based tracker (called as TOPGT), where TOPG is used as a sample selection strategy to select a small number of high-quality target candidates from the generated object proposals.
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression
The deep CNN model is then designed to extract features from several image cropping datasets, upon which the cropping bounding boxes are predicted by the proposed CCR method.
Hierarchical Cross Network for Person Re-identification
With the hierarchical cross feature maps, an HCN can effectively uncover additional semantic features which could not be discovered by a conventional CNN.
Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras
Our approach aims to enhance action recognition in RGB videos by leveraging the extra database.
