Search Results for author:
Found 7 papers, 7 papers with code
YOLOv3: An Incremental Improvement
At 320x320 YOLOv3 runs in 22 ms at 28. 2 mAP, as accurate as SSD but three times faster.
Ranked #5 on
Robust Object Detection
on Cityscapes
Classification
One-stage Anchor-free Oriented Object Detection
+2
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
We introduce the task of directly modeling a visually intelligent agent.
IQA: Visual Question Answering in Interactive Environments
Our experiments show that our proposed model outperforms popular single controller based methods on IQUAD V1.
YOLO9000: Better, Faster, Stronger
On the 156 classes not in COCO, YOLO9000 gets 16. 0 mAP.
Ranked #8 on
Object Detection
on UA-DETRAC
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks.
Ranked #10 on
Classification with Binary Neural Network
on ImageNet
You Only Look Once: Unified, Real-Time Object Detection
A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation.
Ranked #1 on
Real-Time Object Detection
on PASCAL VOC 2007
Real-Time Grasp Detection Using Convolutional Neural Networks
We present an accurate, real-time approach to robotic grasp detection based on convolutional neural networks.
Ranked #5 on
Robotic Grasping
on Cornell Grasp Dataset
