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1711.07264
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Light-Head R-CNN: In Defense of Two-Stage Object Detector
20 November 2017
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian Sun
ObjD
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Papers citing
"Light-Head R-CNN: In Defense of Two-Stage Object Detector"
49 / 99 papers shown
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SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
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Gliding vertex on the horizontal bounding box for multi-oriented object detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
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Yukang Wang
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21 Nov 2019
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Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
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Ke Li
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Gong Cheng
L. Meng
Junwei Han
349
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31 Aug 2019
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Junchi Yan
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Ang Li
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Recent Advances in Deep Learning for Object Detection
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A fast multi-object tracking system using an object detector ensemble
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A Survey of Deep Learning-based Object Detection
IEEE Access (IEEE Access), 2019
L. Jiao
Fan Zhang
Fang Liu
Shuyuan Yang
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Rong Qu
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EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
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Sangdoo Yun
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Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing
International Conference on Pattern Recognition (ICPR), 2019
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Object Detection in 20 Years: A Survey
Proceedings of the IEEE (Proc. IEEE), 2019
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251
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18 Apr 2019
Rethinking Classification and Localization for Object Detection
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Yinpeng Chen
Lu Yuan
Zicheng Liu
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13 Apr 2019
ThunderNet: Towards Real-time Generic Object Detection
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Zhaoning Zhang
Yiping Bao
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262
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28 Mar 2019
DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection
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Zhanchao Huang
Jianlin Wang
Xuesong Fu
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Yongqi Guo
Rutong Wang
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20 Mar 2019
Bottom-up Object Detection by Grouping Extreme and Center Points
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Philipp Krahenbuhl
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Scale-Aware Trident Networks for Object Detection
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Efficient Attention: Attention with Linear Complexities
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Hybrid Knowledge Routed Modules for Large-scale Object Detection
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Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance
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Bounding Box Regression with Uncertainty for Accurate Object Detection
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
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Deep Learning for Generic Object Detection: A Survey
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CornerNet: Detecting Objects as Paired Keypoints
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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Non-local RoIs for Instance Segmentation
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MetaAnchor: Learning to Detect Objects with Customized Anchors
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CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous Driving
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