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Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively
  Combining Object Detectors

Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors

20 July 2017
Hong-Yu Zhou
Bin-Bin Gao
Jianxin Wu
    ObjD
ArXivPDFHTML

Papers citing "Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors"

5 / 5 papers shown
Title
DynamicDet: A Unified Dynamic Architecture for Object Detection
DynamicDet: A Unified Dynamic Architecture for Object Detection
Zhi-Hao Lin
Yongtao Wang
Jinhe Zhang
Xiaojie Chu
ObjD
21
30
0
12 Apr 2023
Dynamic Multimodal Fusion
Dynamic Multimodal Fusion
Zihui Xue
R. Marculescu
34
46
0
31 Mar 2022
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
20
89
0
30 Aug 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy
  and Computational Cost of Cascade Inference Systems
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
Shohei Enomoto
Takeharu Eda
UQCV
34
17
0
15 Apr 2021
ELASTIC: Improving CNNs with Dynamic Scaling Policies
ELASTIC: Improving CNNs with Dynamic Scaling Policies
Huiyu Wang
Aniruddha Kembhavi
Ali Farhadi
Alan Yuille
Mohammad Rastegari
103
57
0
13 Dec 2018
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