Image Categorization

11 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

dongliangchang/Mutual-Channel-Loss 11 Feb 2020

The proposed loss function, termed as mutual-channel loss (MC-Loss), consists of two channel-specific components: a discriminality component and a diversity component.

KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications

ISTAustria-CVML/KSconf 11 Apr 2018

Computer vision systems for automatic image categorization have become accurate and reliable enough that they can run continuously for days or even years as components of real-world commercial applications.

Learning what and where to attend

serre-lab/harmonization 22 May 2018

Most recent gains in visual recognition have originated from the inclusion of attention mechanisms in deep convolutional networks (DCNs).

diffGrad: An Optimization Method for Convolutional Neural Networks

shivram1987/diffGrad 12 Sep 2019

In this paper, a novel optimizer is proposed based on the difference between the present and the immediate past gradient (i. e., diffGrad).

Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

raoyongming/CAL ICCV 2021

Unlike most existing methods that learn visual attention based on conventional likelihood, we propose to learn the attention with counterfactual causality, which provides a tool to measure the attention quality and a powerful supervisory signal to guide the learning process.

Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis

qzhb/tdcmn 23 Nov 2021

Based on TDC, we propose the temporal dynamic concept modeling network (TDCMN) to learn an accurate and complete concept representation for efficient untrimmed video analysis.

Ultrafast Image Categorization in Biology and Neural Models

spikeai/2022-09_ultrafastcat 7 May 2022

To further the comparison between biological and artificial neural networks, we re-trained the standard VGG 16 CNN on two independent tasks that are ecologically relevant to humans: detecting the presence of an animal or an artifact.

Learning an Adaptation Function to Assess Image Visual Similarities

VieVie31/visual-similarity 3 Jun 2022

As a consequence, such features are powerful to compare semantically related images but not really efficient to compare images visually similar but semantically unrelated.

CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound

zeroonegame/cdnet-for-ous-fgic 17 Jun 2022

Precise and rapid categorization of images in the B-scan ultrasound modality is vital for diagnosing ocular diseases.

SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization

ardhendubehera/sr-gnn 5 Sep 2022

Over the past few years, a significant progress has been made in deep convolutional neural networks (CNNs)-based image recognition.