Search Results for author:
Found 10 papers, 6 papers with code
The 8th AI City Challenge
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (ITS), presenting significant research opportunities.
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection
With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras.
Ranked #1 on
2D Object Detection
on FishEye8K
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
Change detection (CD) aims to find the difference between two images at different times and outputs a change map to represent whether the region has changed or not.
Ranked #3 on
Change Detection
on DSIFN-CD
Building change detection for remote sensing images
Change Detection
+3
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
Second, we develop a Similarity Matching Cascade (SMC) module with a novel GATE function for robust object matching across consecutive video frames, further enhancing MOT performance.
Ranked #1 on
Multi-Object Tracking
on MOT20
(using extra training data)
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks
We introduce the Learning Discrete Wavelet Pooling (LDW-Pooling) that can be applied universally to replace standard pooling operations to better extract features with improved accuracy and efficiency.
MS-DARTS: Mean-Shift Based Differentiable Architecture Search
Our approach can improve bot the stability and accuracy of DARTS, by smoothing the loss landscape and sampling architecture parameters within a suitable bandwidth.
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
Feature Pyramid (FP) is widely used in recent visual detection, however the top-down pathway of FP cannot preserve accurate localization due to pooling shifting.
Ranked #1 on
Object Detection
on UAVDT
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 #673 on
Image Classification
on ImageNet
Multiple-Instance Logistic Regression with LASSO Penalty
In this work, we consider a manufactory process which can be described by a multiple-instance logistic regression model.
