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

• Deformable_Convolutional_Networks
• DSSD
• Faster_RCN
• Mask-RCNN
• MultiBox
• Object_detection_at_200_Frames_Per_Second
• R-FCN
• S3FD_Single_Shot_Scale-invariant_Face_Detector
• soft_nms
• SSD
• YOLO
• YOLOv3
• Zero-Shot_Detection
• [BPN]_Single-Shot_Bidirectional_Pyramid_Networks_for_High-Quality_Object_Detection
• [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

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

Segmentation

• Dynamic_Video_Segmentation_Network
• Primary_Video_Object_Segmentation_via_Complementary_CNNs_and_Neighborhood_Reversible_Flow
• Video_Object_Segmentation_with_Language_Referring_Expressions

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

• A_Cascaded_Convolutional_Neural_Network_for_Single_Image_Dehazing
• Concern
• Mix_and_match_networks_encoder-decoder_alignment_for_zero-pair_image_translation
• Multimodal_Unsupervised_Image-to-Image_Translation
• Towards_High_Performance_Video_Object_Detection_for_Mobiles
• [S-LSTM-GAN]_Shared_recurrent_neural_networks_with_adversarial_training

Tracking

• Deep_Reinforcement_Learning_for_Visual_Object_Tracking_in_Videos
• Learning_Dynamic_Memory_Networks_for_Object_Tracking
• Learning_to_Track_Online_Multi-Object_Tracking_by_Decision_Making
• Re3_Real-Time_Recurrent_Regression_Networks_for_Visual_Tracking_of_Generic_Objects
• [ADN]_Action-Decision_Networks_for_Visual_Tracking_with_Deep_Reinforcement_Learning
• [ROLO]_Spatially_Supervised_Recurrent_Convolutional_Neural_Networks_for_Visual_Object_Tracking

VideoDetection

• End-to-End_Detection_and_Re-identification_Integrated_Net_for_Person_Search
• 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
• T-CNN_Tubelets_with_Convolutional_Neural_Networks_for_Object_Detection_from_Videos
• [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
• [TCN]_Object_Detection_from_Video_Tubelets_with_Convolutional_Neural_Networks
• [TPN]_Object_Detection_in_Videos_with_Tubelet_Proposal_Networks