This is my reading notes, some of which are comprehensive and some are brief. In addition, some of them embed my opinion with others public notes. The major related areas including object detection, image-to-image translation, and video operation. A paper list is summarized as follows.

Reading

• Express

Detection

• About_detection
• A_convnet_for_non_maximum_suppression
• CoupleNet
• Deformable_Convolutional_Networks
• DSSD
• ExtremeNet
• Faster_RCN
• FCOS
• Learning_non_maximum_suppression
• Mask-RCNN
• MDSSD
• MultiBox
• Non_local_Neural_Networks
• Objects_as_Points
• Object_detection_at_200_Frames_Per_Second
• OR-CNN
• R-FCN
• Relation_Networks_for_Object_Detection
• RepMet
• RepPoints
• ScratchDet
• SNet
• soft_nms
• SRN
• SSD
• Weaving_Multi_scale_Context_for_Single_Shot_Detector
• YOLO
• YOLOv3
• Zero-Shot_Detection
• [BPN]_Single-Shot_Bidirectional_Pyramid_Networks_for_High-Quality_Object_Detection
• [DES]_Single_Shot_Object_Detection_with_Enriched_Semantics
• [Fire_SSD]
• [M-FRCNN]Object_Detection_with_Mask-based_Feature_Encoding
• [RefineDet]_Single-Shot_Refinement_Neural_Network_for_Object_Detection
• [RFB]_Receptive_Field_Block_Net_for_Accurate_and_Fast_Object_Detection
• [S3FD]_Single_Shot_Scale-invariant_Face_Detector
• [SIN]_Structure_Inference_Net

Image2image

• Attention-GAN_for_Object_Transfiguration_in_Wild_Images
• Composable_Unpaired_Image_to_Image_Translation
• DualGAN_Unsupervised_Dual_Learning_for_Image-to-Image_Translation
• Generating_a_Fusion_Image_One’s_Identity_and_Another’s_Shape
• Learning_to_Deblur_Images_with_Exemplars
• WaterGAN_Unsupervised_Generative_Network_to_Enable_Real-time_Color_Correction_of_Monocular_Underwater_Images
• [cd-GAN]_Conditional_Image-to-Image_Translation
• [CGAN]_Conditional_Generative_Adversarial_Nets
• [CycleGAN]_Unpaired_Image-to-Image_Translation_using_Cycle-Consistent_Adversarial_Networks
• [DCGAN]_Unsupervised_Representation_Learning_with_Deep_Convolutional_Generative_Adversarial_Networks
• [GAN_AC]_Connecting_Generative_Adversarial_Networks_and_Actor-Critic_Methods
• [ITGAN]_Improved_Techniques_for_Training_GANs
• [IWGAN]_Improved_Training_of_Wasserstein_GANs
• [OpticalFlow]_Semi-Supervised_Learning_for_Optical_Flow_with_Generative_Adversarial_Networks
• [pix2pix]_Image-to-Image_Translation_with_Conditional_Adversarial_Networks
• [SRGAN]_Photo-Realistic_Single_Image_Super-Resolution_Using_a_Generative_Adversarial_Network
• [SSGAN]_Semi-supervised_Conditional_GANs
• [STN]_Spatial_Transformer_Networks
• [STSR]_Perceptual_Losses_for_Real-Time_Style_Transfer_and_Super-Resolution
• [UNIT]_Unsupervised_Image-to-Image_Translation_Networks

RL

• About_RL
• A_Survey_on_Transfer_Learning
• Connecting_Generative_Adversarial_Networks_and_Actor_Critic_Methods
• DHER
• Learning_to_Learn_Meta-Critic_Networks_for_Sample_Efficient_Learning
• Self-critical_Sequence_Training_for_Image_Captioning
• Taskonomy
• [A3C]_Asynchronous_Methods_for_Deep_Reinforcement_Learning
• [DDPG]_Continuous_control_with_deep_reinforcement_learning
• [DPG]_Deterministic_Policy_Gradient_Algorithms
• [KTAN]_Knowledge_Transfer_Adversarial_Network

Robotics

• AboutSTN
• About_DeepSLAM
• Camera_Relocalization_by_Computing_Pairwise_Relative_Poses_Using_Convolutional_Neural_Network
• Continuous_Conditional_Random_Fields_for_Efficient_Regression_in_Large_Fully_Connected_Graphs
• Depth_Map_Prediction_from_a_Single_Image_using_a_Multi_Scale_Deep_Network
• Geometric_loss_functions_for_camera_pose_regression_with_deep_learning
• ICSTN
• Learning_Depth_from_Monocular_Videos_using_Direct_Methods
• Learning_Depth_from_Single_Monocular_Images_Using_Deep_Convolutional_Neural_Fields
• Learning_to_Zoom_a_Saliency_Based_Sampling_Layer_for_Neural_Networks
• Multi_Scale_Continuous_CRFs_as_Sequential_Deep_Networks_for_Monocular_Depth_Estimation
• Object_Based_Affordances_Detection_with_Convolutional_Neural_Networks_and_Dense_Conditional_Random_Fields
• Real_time_self_adaptive_deep_stereo
• [Sparse_to_Dense_ Depth_Prediction_from_Sparse_Depth_Samples_and_a_Single_Image](./Robotics/Sparse_to_Dense_ Depth_Prediction_from_Sparse_Depth_Samples_and_a_Single_Image.md)
• Unsupervised_CNN_for_Single_View_Depth_Estimation_Geometry_to_the_Rescue
• Unsupervised_Learning_of_Monocular_Depth_Estimation_and_Visual_Odometry_with_Deep_Feature_Reconstruction
• Unsupervised_Monocular_Depth_Estimation_with_Left_Right_Consistency
• [AnyNet]_Anytime_Stereo_Image_Depth_Estimation_on_Mobile_Devices
• [BayesianPosNet]_Modelling_Uncertainty_in_Deep_Learning_for_Camera_Relocalization
• [DeMoN]_Depth_and_Motion_Network_for_Learning_Monocular_Stereo
• [PoseLSTM]_Image_based_localization_using_LSTMs_for_structured_feature_correlation
• [PoseNet]_A_Convolutional_Network_for_Real_Time_6_DOF_Camera_Relocalization
• [PSMNet]_Pyramid_Stereo_Matching_Network
• [RARE]_Robust_Scene_Text_Recognition_with_Automatic_Rectification
• [SfMLearner]_Unsupervised_Learning_of_Depth_and_Ego_Motion_from_Video
• [UnDeepVO]_Monocular_Visual_Odometry_through_Unsupervised_Deep_Learning

Segmentation

• BoLTVOS
• Box-driven_Class-wise_Region_Masking_and_Filling_Rate_Guided_Loss_for_Weakly_Supervised_Semantic_Segmentation
• Co-occurrent_Features_in_Semantic_Segmentation
• ConvCRFs
• CRF_as_RNN
• DANet
• DenseCRF
• Discriminative_Training_of_Deep_Fully_connected_Continuous_CRFs_with_Task_specific_Loss
• Dynamic_Video_Segmentation_Network
• FeelVOS
• One_Shot_Instance_Segmentation
• Primary_Video_Object_Segmentation_via_Complementary_CNNs_and_Neighborhood_Reversible_Flow
• PTS
• RGMP
• S4Net
• TensorMask
• Video_Instance_Segmentation
• Video_Object_Segmentation_with_Language_Referring_Expressions
• Video_Segmentation_by_Tracking_Many_Figure_Ground_Segments
• YOLACT

SeqGenerating

• AboutGAN
• Auto-Directed_Video_Stabilization_with_Robust_L1_Optimal_Camera_Paths
• A_Fast_Orientation_Estimation_Approach_of_Natural_Images
• Deep_multi-scale_video_prediction_beyond_mean_square_error
• Deep_video_deblurring
• Generating_Videos_with_Scene_Dynamics
• Temporal_generative_adversarial_nets_with_singular_value_clipping
• Unsupervised_Learning_for_Physical_Interaction_through_Video_Prediction
• Unsupervised_Learning_of_Video_Representations_using_LSTMs
• [C-RNN-GAN]_Continuous_recurrent_neural_networks_with_adversarial_training
• [CodingFlow]_Enable_Video_Coding_for_Video_Stabilization
• [DBLRGAN]_Adversarial_Spatio-Temporal_Learning_for_Video_Deblurring
• [FFNet]_Video_Fast-Forwarding_via_Reinforcement_Learning
• [GRAN]_Generating_images_with_recurrent_adversarial_networks
• [LAPGAN]_Deep_Generative_Image_Models_using_a_Laplacian_Pyramid_of_Adversarial_Networks
• [MeshFlow]_Minimum_Latency_Online_Video_Stabilization
• [MoCoGAN]_Decomposing_Motion_and_Content_for_Video_Generation
• [SeqGAN]_Sequence_Generative_Adversarial_Nets_with_Policy_Gradient
• [SteadyFlow]_Spatially_Smooth_Optical_Flow_for_Video_Stabilization

ToBeContinued

• Concern
• extension
• Leetcode
• review

Tracking

• 3Dtracking
• ACT
• Atom
• Cascaded_SiamRPN
• DaSiamRPN
• Deeper_and_Wider_SiamRPN
• Deep_Reinforcement_Learning_for_Visual_Object_Tracking_in_Videos
• GCT
• KCF
• Large_Scale_Object_Mining_for_Object_Discovery_from_Unlabeled_Video
• Learning_Correspondence_from_the_Cycle-Consistency_of_Time
• Learning_Discriminative_Model_Prediction_for_Tracking
• Learning_Dynamic_Memory_Networks_for_Object_Tracking
• Learning_to_Track_Online_Multi-Object_Tracking_by_Decision_Making
• MDNet
• Multi-person_Articulated_Tracking_with_Spatial_and_Temporal_Embeddings
• Prediction_Tracking_Segmentation
• Re3_Real-Time_Recurrent_Regression_Networks_for_Visual_Tracking_of_Generic_Objects
• SiamBM
• SiameseFC
• SiamMask
• SiamMask_E
• SiamRPN++
• SiamRPN
• Spatial_Temporal_Relation_Networks_for_Multi_Object_Tracking
• [ADN]_Action-Decision_Networks_for_Visual_Tracking_with_Deep_Reinforcement_Learning
• [RASNet]
• [ROLO]_Spatially_Supervised_Recurrent_Convolutional_Neural_Networks_for_Visual_Object_Tracking

VideoDetection

• End-to-End_Detection_and_Re-identification_Integrated_Net_for_Person_Search
• Looking_Fast_and_Slow_Memory-Guided_Mobile_Video_Object_Detection
• Object_Detection_in_Videos_by_Short_and_Long_Range_Object_Linking
• On_The_Stability_of_Video_Detection_and_Tracking
• Recurrent_Neural_Network_Regularization
• Seq-NMS_for_Video_Object_Detection
• Towards_High_Performance_Video_Object_Detection_for_Mobiles
• [A-LSTM]_Online_Video_Object_Detection_using_Association_LSTM
• [AOD]_Attentional_Network_for_Visual_Object_Detection
• [ATW]_Attention-based_Temporal_Weighted_Convolutional_Neural_Network_for_Action_Recognition
• [Bottleneck-LSTM]_Mobile_Video_Object_Detection_with_Temporally-Aware_Feature_Maps
• [ClosedLoop]_Spatio-Temporal_Closed-Loop_Object_Detection
• [D&T]_Detect_to_Track_and_Track_to_Detect
• [DuATM]_Dual_Attention_Matching_Network_for_Context-Aware_Feature_Sequence_based_Person_Re-Identification
• [MGN]_Learning_Discriminative_Features_with_Multiple_Granularities_for_Person_ReID
• [RAM]_Recurrent_Models_of_Visual_Attention
• [Re-id]_An_Improved_Deep_Learning_Architecture_for_Person_Re-Identification
• [ResAtt]_Residual_Attention_Network_for_Image_Classification
• [SoftAtt]_Recurrent_Soft_Attention_Model_for_Common_Object_Recognition
• [STMN]_Spatial-Temporal_Memory_Networks_for_Video_Object_Detection
• [STSN]_Object_Detection_in_Video_with_Spatiotemporal_Sampling_Networks
• [T-CNN]_Tubelets_with_Convolutional_Neural_Networks_for_Object_Detection_from_Videos
• [TCN]_Object_Detection_from_Video_Tubelets_with_Convolutional_Neural_Networks
• [TPN]_Object_Detection_in_Videos_with_Tubelet_Proposal_Networks