[PDF] Top 20 Object Hallucination in Image Captioning
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Object Hallucination in Image Captioning
... capture hallucination? It is a common practice to rely on automatic sentence metrics, ...evaluate captioning performance during development, and few employ human evaluation to measure the fi- nal ... See full document
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On the Role of Scene Graphs in Image Captioning
... The task of automatically recognizing and describ- ing visual scenes in the real world, normally re- ferred to as image captioning, is a long stand- ing problem in computer vision and computational ... See full document
6
Comparison of Image Captioning Methods
... Image captioning is a process of generating image descriptions for a detailed understanding of the various elements of the ...the image , the background or the setting of the environment in ... See full document
6
Meta Learning for Image Captioning
... the object-relation overlapping instead of 1-gram or 2-gram overlapping, and BLEU3/BLEU4 is relatively more suitable to evaluate the object-relation ... See full document
8
Image Captioning using Multimodal Embedding
... of image recognition as well as object ...an image in form of short ...generating image descriptions have been developed [1, ...extracting image captions and Skip thoughts, which is an ... See full document
6
Hierarchical Attention Network for Image Captioning
... detect image regions, and a top-down mechanism to determine feature ...with object attention, and generates sentences template with slots, which are then filled in by visual ...the object detector ... See full document
8
Compositional Generalization in Image Captioning
... an image encoding that is extracted from a convolutional neural network (CNN), an RNN- based decoder generates a sequence of words that form the corresponding caption (Vinyals et ... See full document
12
Nonparametric Method for Data driven Image Captioning
... Image captioning is a relatively novel task for which the most compelling applications are prob- ably not yet ...age captioning focuses on generating captions that concretely describe detected ... See full document
7
Re evaluating Automatic Metrics for Image Captioning
... PASCAL Object Detec- tion challenge (Everingham et ...different object classes like person, car, horse, ...per image and human judgements for 4000 candidate pairs for the aforementioned binary-forced ... See full document
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Aesthetic Image Captioning from Weakly Labelled Photographs
... per image and can be used to train the Long and Short Term Memory (LSTM) network in the image captioning pipeline in the traditional ...used image analysis benchmarking dataset, MS- COCO, ... See full document
11
Temporal difference Learning with Sampling Baseline for Image Captioning
... our captioning model shown in Figure ...the image cor- rectly. An example can be found in image 2 where the tooth- brush is mistaken as a banana by the base model, whereas the RL model correctly ... See full document
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Pragmatically Informative Image Captioning with Character Level Inference
... neural image captioner with a Rational Speech Acts (RSA) model to make a system that is pragmatically informative: its objective is to produce captions that are not merely true but also distinguish their inputs ... See full document
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Improving Image Captioning with Conditional Generative Adversarial Nets
... adversarial-nets-based image captioning framework as an extension of traditional reinforcement-learning (RL)-based encoder-decoder ...RL-based image captioning framework and we show that the ... See full document
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Captioning for Motion Detection for video surveillance Applications using Deep Learning
... the image captioning system can caption any type of images ...like captioning celebrities name even if the picture is not included in the ...and captioning them is ...the image features ... See full document
6
Domain Specific Image Captioning
... editing image captions, but their compression objective is not conditioned on a query image, and their system also requires general-domain visual ...an image captioning frame- work which ... See full document
10
Informative Image Captioning with External Sources of Information
... An image caption should fluently present the essential information in a given image, includ- ing informative, fine-grained entity mentions and the manner in which these entities ...current captioning ... See full document
10
Object Counts! Bringing Explicit Detections Back into Image Captioning
... explicit object detections for image ...the image as well as their interactions, and can be used to better understand image ...encode object details yields reasonably good ...helps ... See full document
14
Learning Object Context for Dense Captioning
... Dense captioning is a challenging task which not only detects visual elements in images but also generates natural language sentences to describe ...age object information in images for this ...the ... See full document
8
Conciousness-in-the-world: An analytical investigation of the theory of phenomenal consciousness in the early works of Jean-Paul Sartre
... the object is ‘knowledge’ in a fairly straightforward sense: my previous experience furnishes the ...intentional object may be quite ...unreal object appears close to me that my eyes are going to ... See full document
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Fast, Accurate and Natural Caption Generation Using CNN and LSTM
... Image Captioning is the process of generating textual description of an ...of image captioning can be divided into two modules; one is an image based model which extracts the features ... See full document
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