papers
This is a repository for summarizing papers especially related to machine learning.
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- readme.txt
- 000001.Self-critical_Sequence_Training_for_Image_Captioning.md
- 000002.Show_and_Tell_A_Neural_Image_Caption_Generator.md
- 000003.Multiple_Frame_Matching_for_Object_Discovery_in_Video.md
- 000004.Faster_R-CNN_Towards_Real-Time_Object_Detection_with_Region_Proposal_Networks.md
- 000005.Unsupervised_Deep_Embedding_for_Clustering_Analysis.md
- 000006.Generative_Adversarial_Nets.md
- 000007.SSD_Single_Shot_MultiBox_Detector.md
- 000008.Feature_Pyramid_Networks_for_Object_Detection.md
- 000009.DSSD_Deconvolutional_Single_Shot_Detector.md
- 000010.Wide_Residual_Networks.md
- 000011.Unpaired_Image-to-Image_Translation_using_Cycle-Consistent_Adversarial_Networks.md
- 000012.SmoothGrad_removing_noise_by_adding_noise.md
- 000013.Fully_Convolutional_Networks_for_Semantic_Segmentation.md
- 000014.Show_Attend_and_Tell:Neural_Image_Caption_Generation_with_Visual_Attention.md
- 000015.Densely_Connected_Convolutional_Networks.md
- 000016.SegNet_A_Deep_Convolutional_Encoder-Decoder_Architecture_for_Image_Segmentation.md
- 000017.U-Net_Convolutional_Networks_for_Biomedical_Image_Segmentation.md
- 000018.Speed_accuracy_trade-offs_for_modern_convolutional_object_detectors.md
- 000019.Focal_Loss_for_Dense_Object_Detection.md
- 000020.FlowNet_Learning_Optical_Flow_with_Convolutional_Networks.md
- 000021.Effective_Approaches_to_Attention-based_Neural_Machine_Translation.md
- 000022.Image_to_Image_Translation_with_Conditional_Adversarial_Networks.md
- 000023.Deep_Pyramidal_Residual_Networks_with_Separated_Stochastic_Depth.md
- 000024.Attention-Based_Models_for_Speech_Recognition.md
- 000025.Neural_Machine_Translation_by_Jointly_Learning_to_Align_and_Translate.md
- 000026.cGAN-based_Manga_Colorization_Using_a_Single_Training_Image.md
- 000027.Deep_visual-semantic_alignments_for_generating_image_descriptions.md
- 000028.FlowNet2.0_Evolution_of_Optical_Flow_Estimation_with_Deep_Networks.md
- 000029.SqueezeNet_AlexNet-level_accuracy_with_50x_fewer_parameters_and_0.5MB_model_size.md
- 000030.Dual_Path_Networks.md
- 000031.Revisiting_Unreasonable_Effectiveness_of_Data_in_Deep_Learning_Era.md
- 000032.Unsupervised_Learning_of_Video_Representations_using_LSTMs.md
- 000033.Sequence_to_Sequence_Learning_with_Neural_Networks.md
- 000034.Bridging_the_Gaps_Between_Residual_Learning_Recurrent_Neural_Networks_and_Visual_Cortex.md
- 000035.Positive-Unlabeled_Learning_with_Non-Negative_Risk_Estimator.md
- 000036.PointNet++_Deep_Hierarchical_Feature_Learning_on_Point_Sets_in_a_Metric_Space.md
- 000037.Learning to_Compose_Domain-Specific_Transformations_for_Data_Augmentation.md
- 000038.CondenseNet_An_Efficient_DenseNet_using_Learned_Group_Convolutions.md
- 000039.TextBoxes++_A Single-Shot_Oriented_Scene_Text_Detector.md
- 000040.Learning_from_Simulated_and_Unsupervised_Images_through_Adversarial_Training.md
- 000041.Recurrent_Models_of_Visual_Attention.md
- 000042.Whats_your_ML_Test_Score?_A_rubric_for_ML_production_systems.md
- 000043.Spatial_Transformer_Networks.md
- 000044.Synthetic_data_generation_for_Indic_handwritten_text_recognition.md
- 000045.Multimodal_Emoji_Prediction.md
- 000046.DetNet_A_Backbone_network_for_Object_Detection.md
- 000047. Reading_Scene_Text_with_Attention_Convolutional_Sequence_Modeling.md
- 000048.Light-Head_R-CNN_In_Defense_of_Two-Stage_Object_Detector.md
- 000049.Fully_Convolutional_Instance-aware_Semantic_Segmentation.md
- 000050.Born_Again_Neural_Networks.md
- 000051.Mask_R-CNN.md
- 000052.Towards_High_Performance_Video_Object_Detection_for_Mobiles.md
- 000053.Mobile_Video_Object_with_Temporally-Aware_Feature_Maps.md
- 000054.Attention_Is_All_You_Need.md
- 000055.Can_Spatiotemporal_3D_CNNs_Retrace_the_History_of_2D_CNNs_and_ImageNet.md
- 000056.Fast_and_accurate_object_detection_in_high_resolution_4K_and_8K_video_using_GPUs.md
- 000057.Improving_Online_Multiple_Object_tracking_with_Deep_Metric_Learning.md
- 000058.SIMPLE_ONLINE_AND_REALTIME_TRACKING.md
- 000059.Digital_Auditor.md
- 000060_Pedestrian_Detection_benchmark.md
- 000061_DeepMark_One_shot_Clothing_Detection.md
- 000062.Revisiting_RCNN.md
- 000063_Faster_RCNN_with_densenet.md
- .gitignore
- HowToRead.md
- README.md
- template.md
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