CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

ImageNet classification with deep convolutional neural networks

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Visualizing and understanding convolutional networks

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DeepFace: Closing the Gap to Human-Level Performance in Face Verification

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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

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Caltech-UCSD Birds-200-2011 Dataset

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Scalable Recognition with a Vocabulary Tree

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Automated Flower Classification over a Large Number of Classes

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DeepPose: Human Pose Estimation via Deep Neural Networks

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Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

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Object retrieval with large vocabularies and fast spatial matching

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Describing objects by their attributes

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Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search

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Attribute-Based Classification for Zero-Shot Visual Object Categorization

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Cats and dogs

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Recognizing indoor scenes

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Aggregating Local Image Descriptors into Compact Codes

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Lost in quantization: Improving particular object retrieval in large scale image databases

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Multi-scale Orderless Pooling of Deep Convolutional Activation Features

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Large-scale image retrieval with compressed Fisher vectors

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All About VLAD

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Visualizing and Understanding Convolutional Networks

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A database for fine grained activity detection of cooking activities

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PANDA: Pose Aligned Networks for Deep Attribute Modeling

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Scene recognition and weakly supervised object localization with deformable part-based models

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Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening

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POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation

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Blocks That Shout: Distinctive Parts for Scene Classification

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Describing people: A poselet-based approach to attribute classification

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Combining randomization and discrimination for fine-grained image categorization

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Mid-level Visual Element Discovery as Discriminative Mode Seeking

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A Discriminative Latent Model of Object Classes and Attributes

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Efficient Object Detection and Segmentation for Fine-Grained Recognition

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To Aggregate or Not to aggregate: Selective Match Kernels for Image Search

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Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction

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Contextualizing object detection and classification

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BiCoS: A Bi-level co-segmentation method for image classification

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Reconfigurable models for scene recognition

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Harvesting Mid-level Visual Concepts from Large-Scale Internet Images

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Learning a Fine Vocabulary

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Pose pooling kernels for sub-category recognition

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Learning Discriminative Part Detectors for Image Classification and Cosegmentation

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Subcategory-Aware Object Classification

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Smooth object retrieval using a bag of boundaries

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Hierarchical matching with side information for image classification

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Mining Mid-level Features for Image Classification

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Asymmetric hamming embedding

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Oriented pooling for dense and non-dense rotation-invariant features

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Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks

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Sparse Representations and Distance Learning for Attribute Based Category Recognition

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Deep learning in neural networks: an overview

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Convolutional Neural Networks for Sentence Classification

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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Learning Deep Features for Discriminative Localization

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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

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Deep Learning Face Attributes in the Wild

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Large-Scale Video Classification with Convolutional Neural Networks

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Deep convolutional neural networks for computer-aided detection: cnn architectures, dataset characteristics and transfer learning

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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

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Fully-Convolutional Siamese Networks for Object Tracking

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Billion-scale similarity search with GPUs

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Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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Continual lifelong learning with neural networks: A review

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Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

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Deep Learning for Generic Object Detection: A Survey

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Deep learning for visual understanding: A review

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PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

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Explaining Explanations: An Overview of Interpretability of Machine Learning

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Using goal-driven deep learning models to understand sensory cortex

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The “Something Something” Video Database for Learning and Evaluating Visual Common Sense

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Network Dissection: Quantifying Interpretability of Deep Visual Representations

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Do Better ImageNet Models Transfer Better?

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Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey

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Visual Place Recognition: A Survey

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Compressing Neural Networks with the Hashing Trick

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Is object localization for free? - Weakly-supervised learning with convolutional neural networks

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Deep convolutional neural fields for depth estimation from a single image

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Understanding how image quality affects deep neural networks

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A New Representation of Skeleton Sequences for 3D Action Recognition

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Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

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Improving Deep Learning with Generic Data Augmentation

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Learning Without Forgetting

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Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

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A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy

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Handcrafted vs. non-handcrafted features for computer vision classification

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A Generic Deep-Learning-Based Approach for Automated Surface Inspection

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SpotTune: Transfer Learning Through Adaptive Fine-Tuning

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Deep learning in microscopy image analysis: a survey

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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

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Robust fine-tuning of zero-shot models

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Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making

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Chest pathology detection using deep learning with non-medical training

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Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks

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Analyzing the Performance of Multilayer Neural Networks for Object Recognition

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Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

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