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# A Collection of Papers

Search more: https://arxiv.org/list/cs/recent

• Image Object Detection
  • [R-CNN] Rich feature hierarchies for accurate object detection and semantic segmentationTech report (v5)
  • [Fast R-CNN] Fast R-CNN
  • [Faster R-CNN] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  • [ResNets] Deep Residual Learning for Image Recognition
  • [GoogLeNet] Going Deeper with Convolutions
  • [R-FCN] R-FCN: Object Detection via Region-based Fully Convolutional Networks
  • [SSD] SSD: Single Shot MultiBox Detector
  • [YOLO] You Only Look Once: Unified, Real-Time Object Detection
  • [YOLO9000] YOLO9000: Better, Faster, Stronger
  • [YOLOv3] YOLOv3: An Incremental Improvement
• Video Object Detection
  • [DFF] Deep Feature Flow for Video Recognition (2017)
  • [FGFA] Flow-Guided Feature Aggregation for Video Object Detection (2017)
  • [Towards High Performance Video Object Detection] (2017)
  • [Towards High Performance Video Object Detection for Mobiles] (2018)
• Others
  • [Selective Search] Selective Search for Object Recognition (2012)
  • [AlexNet] ImageNet Classification with Deep ConvolutionalNeural Networks (2012)
  • [VGG] VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION (2014)
  • [FCN] Fully convolutional networks for semantic segmentation
  • [FlowNet] FlowNet: Learning Optical Flow with Convolutional Networks
  • [Quantized Neural Networks] Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
  • [FSO] Feature Space Optimization for Semantic Video Segmentation (2016)
  • [STFCN] STFCN: Spatio-Temporal FCN for Semantic Video Segmentation (2016)
  • [Clockwork Convnets] Clockwork Convnets for Video Semantic Segmentation (2016)
  • DCNets Deformable Convolutional Networks (2017)
  • Light-Head R-CNN Light-Head R-CNN: In Defense of Two-Stage Object Detector (2017)
  • DenseNet Densely Connected Convolutional Networks (2018)