dahwang22 / objdect_papernotes Goto Github PK

• DSSD : Deconvolutional Single Shot Detector paper
• Wide-Residual-Inception Networks for Real-time Object Detection paper
• Attentional Network for Visual Object Detection paper
• An Implementation of Faster RCNN with Study for Region Sampling paper code
• Learning Chained Deep Features and Classifiers for Cascade in Object Detection paper
• DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling paper
• Mask RCNN paper
• A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection paper paper code
• Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries paper
• Spatial Memory for Context Reasoning in Object Detection paper
• Improving Object Detection With One Line of Code paper code
• Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection paper
• Accurate Single Stage Detector Using Recurrent Rolling Convolution paper code
• S-OHEM: Stratified Online Hard Example Mining for Object Detection paper
• LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems paper
• Enhancement of SSD by concatenating feature maps for object detection paper
• Point Linking Network for Object Detection paper
• Perceptual Generative Adversarial Networks for Small Object Detection paper
• Few-shot Object Detection paper
• Yes-Net: An effective Detector Based on Global Information paper
• SMC Faster R-CNN: Toward a scene-specialized multi-object detector paper
• Towards lightweight convolutional neural networks for object detection paper
• RON: Reverse Connection with Objectness Prior Networks for Object Detection paper code
• Residual Features and Unified Prediction Network for Single Stage Detection paper
• Deformable Part-based Fully Convolutional Network for Object Detection paper
• Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors paper
• Context-aware Single-Shot Detector paper
• Recurrent Scale Approximation for Object Detection in CNN paper code
• DSOD: Learning Deeply Supervised Object Detectors from Scratch paper code
• Focal Loss for Dense Object Detection paper
• CoupleNet: Coupling Global Structure with Local Parts for Object Detection paper
• Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection paper
• Feature-Fused SSD: Fast Detection for Small Objects paper
• StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection paper

• Factors in Finetuning Deep Model for Object Detection with Long-tail Distribution paper
• We don?t need no bounding-boxes: Training object class detectors using only human verification paper
• HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection paper
• A MultiPath Network for Object Detection paper code
• CRAFT Objects from Images code paper paper code
• Training Region-based Object Detectors with Online Hard Example Mining paper paper code
• Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection paper code
• R-FCN: Object Detection via Region-based Fully Convolutional Networks paper code code code code code
• Recycle deep features for better object detection paper
• A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection paper code
• Multi-stage Object Detection with Group Recursive Learning paper
• PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection paper code
• Crafting GBD-Net for Object Detection paper code
• StuffNet: Using ?Stuff? to Improve Object Detection paper
• Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene paper
• Hierarchical Object Detection with Deep Reinforcement Learning code paper code
• Learning to detect and localize many objects from few examples paper
• PVANet: Lightweight Deep Neural Networks for Real-time Object Detection paper
• Speed/accuracy trade-offs for modern convolutional object detectors paper
• SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving paper code code
• Feature Pyramid Networks for Object Detection paper
• Action-Driven Object Detection with Top-Down Visual Attentions paper
• Beyond Skip Connections: Top-Down Modulation for Object Detection paper
• YOLO9000: Better, Faster, Stronger paper code code code code code code code

• Object Detectors Emerge in Deep Scene CNNs paper paper paper
• segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection paper code
• Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction paper code
• Object Detection Networks on Convolutional Feature Maps paper
• Fast R-CNN paper code code code paper code code code code
• Object detection via a multi-region & semantic segmentation-aware CNN model paper code paper
• DeepBox: Learning Objectness with Convolutional Networks paper code
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks paper code code code code code code code code code
• You Only Look Once: Unified, Real-Time Object Detection paper code code code code code code code code code
• R-CNN minus R paper
• AttentionNet: Aggregating Weak Directions for Accurate Object Detection paper
• DenseBox: Unifying Landmark Localization with End to End Object Detection paper
• A convnet for non-maximum suppression paper
• SSD: Single Shot MultiBox Detector paper paper paper code code code code code code code
• Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks paper
• Adaptive Object Detection Using Adjacency and Zoom Prediction paper code
• G-CNN: an Iterative Grid Based Object Detector paper

• Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition paper code paper
• End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression paper paper
• Scalable, High-Quality Object Detection paper code
• DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection paper

• R-CNN:Rich feature hierarchies for accurate object detection and semantic segmentation paper paper code paper code
• Scalable Object Detection using Deep Neural Networks paper code
• OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks paper code

• Deep Neural Networks for Object Detection paper
• GBD-Net paper
• Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers paper
• Faster R-CNN in MXNet with distributed implementation and data parallelization code
• darkflow - translate darknet to tensorflow. Load trained weights, retrain/fine-tune them using tensorflow, export constant graph def to C++ code code
• Start Training YOLO with Our Own Data code
• YOLO: Core ML versus MPSNNGraph code
• TensorFlow YOLO object detection on Android code
• Yolo_mark: GUI for marking bounded boxes of objects in images for training Yolo v2 code
• Contextual Priming and Feedback for Faster R-CNN paper

(Much thanks to handong1587)