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Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network

17 Jan 2020clovaai/assembled-cnn

Recent studies in image classification have demonstrated a variety of techniques for improving the performance of Convolutional Neural Networks (CNNs).

FINE-GRAINED IMAGE CLASSIFICATION FINE-GRAINED VISUAL RECOGNITION IMAGE RETRIEVAL TRANSFER LEARNING

X-Linear Attention Networks for Image Captioning

CVPR 2020 Panda-Peter/image-captioning

Recent progress on fine-grained visual recognition and visual question answering has featured Bilinear Pooling, which effectively models the 2$^{nd}$ order interactions across multi-modal inputs.

FINE-GRAINED VISUAL RECOGNITION IMAGE CAPTIONING QUESTION ANSWERING VISUAL QUESTION ANSWERING

Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition

ECCV 2018 ChaojianYu/Hierarchical-Bilinear-Pooling

Fine-grained visual recognition is challenging because it highly relies on the modeling of various semantic parts and fine-grained feature learning.

FINE-GRAINED VISUAL RECOGNITION

Metric Learning with Adaptive Density Discrimination

18 Nov 2015pumpikano/tf-magnet-loss

Beyond classification, we further validate the saliency of the learnt representations via their attribute concentration and hierarchy recovery properties, achieving 10-25% relative gains on the softmax classifier and 25-50% on triplet loss in these tasks.

FINE-GRAINED VISUAL RECOGNITION METRIC LEARNING

MILDNet: A Lightweight Single Scaled Deep Ranking Architecture

3 Mar 2019gofynd/mildnet

Inspired by the fact that successive CNN layers represent the image with increasing levels of abstraction, we compressed our deep ranking model to a single CNN by coupling activations from multiple intermediate layers along with the last layer.

4 FINE-GRAINED VISUAL RECOGNITION IMAGE RETRIEVAL PRODUCT RECOMMENDATION RECOMMENDATION SYSTEMS

Retrieving Similar E-Commerce Images Using Deep Learning

11 Jan 2019gofynd/mildnet

In this paper, we propose a deep convolutional neural network for learning the embeddings of images in order to capture the notion of visual similarity.

FINE-GRAINED VISUAL RECOGNITION IMAGE RETRIEVAL PRODUCT RECOMMENDATION RECOMMENDATION SYSTEMS

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

ECCV 2020 KMnP/fashionpedia-api

In this work we explore the task of instance segmentation with attribute localization, which unifies instance segmentation (detect and segment each object instance) and fine-grained visual attribute categorization (recognize one or multiple attributes).

FINE-GRAINED VISUAL CATEGORIZATION FINE-GRAINED VISUAL RECOGNITION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION TRANSFER LEARNING

Self-Paced Learning with Adaptive Deep Visual Embeddings

24 Jul 2018vithursant/SPL-ADVisE

Selecting the most appropriate data examples to present a deep neural network (DNN) at different stages of training is an unsolved challenge.

FINE-GRAINED VISUAL RECOGNITION IMAGE CLASSIFICATION METRIC LEARNING

Feathers dataset for Fine-Grained Visual Categorization

18 Apr 2020feathers-dataset/feathersv1-dataset

This paper introduces a novel dataset FeatherV1, containing 28, 272 images of feathers categorized by 595 bird species.

FINE-GRAINED VISUAL CATEGORIZATION FINE-GRAINED VISUAL RECOGNITION