research
∙
07/18/2023
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Small Object Detection (SOD) is an important machine vision topic becaus...
share
research
∙
11/12/2022
NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets
We propose a post-processor, called NeighborTrack, that leverages neighb...
research
∙
11/09/2022
Designing Network Design Strategies Through Gradient Path Analysis
Designing a high-efficiency and high-quality expressive network architec...
research
∙
10/29/2022
SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features
The paper presents a new method, SearchTrack, for multiple object tracki...
research
∙
07/06/2022
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 i...
research
∙
05/10/2021
You Only Learn One Representation: Unified Network for Multiple Tasks
People “understand” the world via vision, hearing, tactile, and also the...
research
∙
11/16/2020
Scaled-YOLOv4: Scaling Cross Stage Partial Network
We show that the YOLOv4 object detection neural network based on the CSP...
research
∙
04/23/2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
There are a huge number of features which are said to improve Convolutio...
research
∙
11/27/2019
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection
State-of-the-art (SoTA) models have improved the accuracy of object dete...
research
∙
11/27/2019
