|
+
|
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
|
2021
|
Sachin Mehta
Mohammad Rastegari
|
3
|
|
+
|
YOLOv4: Optimal Speed and Accuracy of Object Detection
|
2020
|
Alexey Bochkovskiy
Chien-Yao Wang
Hong-Yuan Mark Liao
|
3
|
|
+
PDF
Chat
|
Pyramid Scene Parsing Network
|
2017
|
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
|
3
|
|
+
PDF
Chat
|
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
|
2017
|
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
|
3
|
|
+
PDF
Chat
|
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers
|
2022
|
Junting Pan
Adrian Bulat
Fuwen Tan
Xiatian Zhu
Ĺukasz Dudziak
Hongsheng Li
Georgios Tzimiropoulos
Brais MartĂnez
|
3
|
|
+
PDF
Chat
|
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
|
2021
|
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
|
3
|
|
+
PDF
Chat
|
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
|
2023
|
Chien-Yao Wang
Alexey Bochkovskiy
Hong-Yuan Mark Liao
|
3
|
|
+
PDF
Chat
|
CenterNet: Keypoint Triplets for Object Detection
|
2019
|
Kaiwen Duan
Song Bai
Lingxi Xie
Honggang Qi
Qingming Huang
Qi Tian
|
2
|
|
+
PDF
Chat
|
Robust Multi-Modality Multi-Object Tracking
|
2019
|
Wenwei Zhang
Hui Zhou
Shuyang Sun
Zhe Wang
Jianping Shi
Chen Change Loy
|
2
|
|
+
PDF
Chat
|
Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems
|
2019
|
Christoph SchĂśller
Maximilian Schnettler
Annkathrin Krämmer
Gereon Hinz
Maida Bakovic
MĂźge GĂźzet
Alois Knoll
|
2
|
|
+
PDF
Chat
|
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
|
2015
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
2
|
|
+
|
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
|
2014
|
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
|
2
|
|
+
PDF
Chat
|
3D fully convolutional network for vehicle detection in point cloud
|
2017
|
Bo Li
|
2
|
|
+
PDF
Chat
|
ImageNet Large Scale Visual Recognition Challenge
|
2015
|
Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
|
2
|
|
+
PDF
Chat
|
PointPillars: Fast Encoders for Object Detection From Point Clouds
|
2019
|
Alex Lang
Sourabh Vora
Holger Caesar
Lubing Zhou
Jiong Yang
Oscar Beijbom
|
2
|
|
+
PDF
Chat
|
Deep Residual Learning for Image Recognition
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
2
|
|
+
PDF
Chat
|
Disentangling Monocular 3D Object Detection
|
2019
|
Andrea Simonelli
Samuel Rota Bulò
Lorenzo Porzi
Manuel LĂłpez-Antequera
Peter Kontschieder
|
2
|
|
+
PDF
Chat
|
Deep stochastic radar models
|
2017
|
Tim A. Wheeler
Martin Holder
Hermann Winner
Mykel J. Kochenderfer
|
2
|
|
+
PDF
Chat
|
Understanding Convolution for Semantic Segmentation
|
2018
|
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
Garrison W. Cottrell
|
2
|
|
+
|
Rethinking Atrous Convolution for Semantic Image Segmentation
|
2017
|
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
|
2
|
|
+
|
Very Deep Convolutional Networks for Large-Scale Image Recognition
|
2014
|
Karen Simonyan
Andrew Zisserman
|
2
|
|
+
PDF
Chat
|
Distant Vehicle Detection Using Radar and Vision
|
2019
|
Simon Chadwick
Will Maddern
Paul Newman
|
2
|
|
+
PDF
Chat
|
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
|
2017
|
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
|
2
|
|
+
PDF
Chat
|
Simultaneous Traffic Sign Detection and Boundary Estimation Using Convolutional Neural Network
|
2018
|
Hee Seok Lee
Kang Kim
|
2
|
|
+
|
Continual lifelong learning with neural networks: A review
|
2019
|
German I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
Stefan Wermter
|
2
|
|
+
PDF
Chat
|
Multi-view 3D Object Detection Network for Autonomous Driving
|
2017
|
Xiaozhi Chen
Huimin Ma
Ji Wan
Bo Li
Tian Xia
|
2
|
|
+
PDF
Chat
|
Minimizing Supervision for Free-Space Segmentation
|
2018
|
Satoshi Tsutsui
Tommi Kerola
Shunta Saito
David Crandall
|
2
|
|
+
PDF
Chat
|
Detecting Traffic Lights by Single Shot Detection
|
2018
|
Julian MĂźller
Klaus Dietmayer
|
2
|
|
+
PDF
Chat
|
YOLO9000: Better, Faster, Stronger
|
2017
|
Joseph Redmon
Ali Farhadi
|
2
|
|
+
PDF
Chat
|
The ApolloScape Open Dataset for Autonomous Driving and Its Application
|
2019
|
Xinyu Huang
Peng Wang
Xinjing Cheng
Dingfu Zhou
Qichuan Geng
Ruigang Yang
|
2
|
|
+
PDF
Chat
|
Frustum PointNets for 3D Object Detection from RGB-D Data
|
2018
|
Charles R. Qi
Wei Liu
Chenxia Wu
Hao Su
Leonidas Guibas
|
2
|
|
+
PDF
Chat
|
Multi-Task Multi-Sensor Fusion for 3D Object Detection
|
2019
|
Ming Liang
Bin Yang
Yun Chen
Rui Hu
Raquel Urtasun
|
2
|
|
+
PDF
Chat
|
Towards Real Scene Super-Resolution With Raw Images
|
2019
|
Xiangyu Xu
Yongrui Ma
Wenxiu Sun
|
2
|
|
+
PDF
Chat
|
Feature Pyramid Networks for Object Detection
|
2017
|
Tsung-Yi Lin
Piotr DollĂĄr
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
|
2
|
|
+
PDF
Chat
|
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
|
2019
|
Yan Wang
WeiâLun Chao
Divyansh Garg
Bharath Hariharan
Mark Campbell
Kilian Q. Weinberger
|
2
|
|
+
|
How much real data do we actually need: Analyzing object detection performance using synthetic and real data
|
2019
|
Farzan Erlik Nowruzi
Prince Kapoor
Dhanvin Kolhatkar
Fahed Al Hassanat
Robert Laganière
Julien Rebut
|
2
|
|
+
PDF
Chat
|
Multimodal End-to-End Autonomous Driving
|
2020
|
Yi Xiao
Felipe Codevilla
Akhil Gurram
Onay UrfalĹoǧlu
Antonio M. LĂłpez
|
2
|
|
+
PDF
Chat
|
You Only Look Once: Unified, Real-Time Object Detection
|
2016
|
Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
|
2
|
|
+
PDF
Chat
|
Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
|
2019
|
Yuhua Chen
Wen Li
Xiaoran Chen
Luc Van Gool
|
2
|
|
+
|
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
|
2016
|
Bo Li
Tianlei Zhang
Tian Xia
|
2
|
|
+
|
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
|
2017
|
Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
|
2
|
|
+
|
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
|
2018
|
Fred Hohman
Minsuk Kahng
Robert Pienta
Duen Horng Chau
|
2
|
|
+
PDF
Chat
|
Distantly Supervised Road Segmentation
|
2017
|
Satoshi Tsutsui
Shunta Saito
Tommi Kerola
|
2
|
|
+
|
Methods for interpreting and understanding deep neural networks
|
2017
|
GrĂŠgoire Montavon
Wojciech Samek
KlausâRobert MĂźller
|
2
|
|
+
PDF
Chat
|
Joint 3D Proposal Generation and Object Detection from View Aggregation
|
2018
|
Jason S. Ku
Melissa Mozifian
Jungwook Lee
Ali Harakeh
Steven L. Waslander
|
2
|
|
+
PDF
Chat
|
A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles
|
2016
|
B. Paden
Michal ÄĂĄp
Sze Zheng Yong
Dmitry Yershov
Emilio Frazzoli
|
2
|
|
+
PDF
Chat
|
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
|
2018
|
Yin Zhou
Oncel Tuzel
|
2
|
|
+
PDF
Chat
|
3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection
|
2017
|
Xiaozhi Chen
Kaustav Kundu
Yukun Zhu
Huimin Ma
Sanja Fidler
Raquel Urtasun
|
2
|
|
+
|
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
|
2017
|
Vijay Badrinarayanan
A. C. Kendall
Roberto Cipolla
|
2
|
|
+
PDF
Chat
|
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
|
2017
|
Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
|
2
|